CS - Key Persons
Job Titles:
- Associate Professor
- Department of Computer Science
Abhishek Jain, an associate professor of computer science, focuses on all aspects of cryptography, with a special interest in secure computation, including functional encryption and program obfuscation. His other interests include security and privacy, as well as related areas of theoretical computer science. Much of his present work focuses on problems related to computing on private data and blockchains. He is a member of the Johns Hopkins University Information Security Institute, the Advanced Research in Cryptography Group, and the Johns Hopkins Algorithms and Complexity group. He is a 2020 recipient of the National Science Foundation's Early CAREER Award and has received Best Paper awards at EUROCRYPT. His work is supported by DARPA, Samsung and a JHU Catalyst Award
Job Titles:
- Advisor
- Bloomberg Distinguished Professor
- Distinguished Professor
Research Interests: Deep learning, computer vision
Research Interests: Foundation models, medical image analysis, deep learning
Research Interests: Computer vision, cognitive computing
Job Titles:
- Co - Advised by Benjamin Van Durme )
Job Titles:
- Assistant Research Professor
- Assistant Research Professor / Department of Computer Science
Alejandro Martin-Gomez is an assistant research professor in the Department of Computer Science and a member of the Laboratory for Computational Sensing and Robotics (LCSR). His research interests include the study of fundamental concepts of visual perception and their transferability to medical applications that involve using augmented and virtual reality.
His work has been published in some of the most prestigious journals and at conferences in these fields, including at the IEEE International Symposium on Mixed and Augmented Reality, at the IEEE Conference on Virtual Reality and 3D User Interfaces, and in IEEE Transactions on Visualization and Computer Graphics. He also has served as a mentor and adviser to several students and scholars at the Technical University of Munich, Johns Hopkins University, and more recently, at the Friedrich-Alexander University of Erlangen-Nürnberg. In addition, he is involved in professional editorial activities and has been a program committee member for the International Symposium on Mixed and Augmented Reality in 2016, 2018, and 2021.
Before joining Johns Hopkins, Martin-Gomez completed his PhD in computer science at the Technical University of Munich, from which he graduated summa cum laude.
Job Titles:
- Senior Grants and Contracts Analyst
Job Titles:
- Assistant Professor
- Department of Computer Science
Alex Marder is an assistant professor of computer science and a member of the Institute for Assured Autonomy.
Marder's research covers a wide breadth of networking areas, including the use of empirical analyses and machine learning to evaluate and improve the security and performance of wired and wireless networks. His current work leverages a deep understanding of network architecture and deployment to design secure 5G communication networks for the Department of Defense, reveal security weaknesses in domestic internet access networks, and provide a better understanding of broadband inequity.
He received a BS from Brandeis University and a PhD from the University of Pennsylvania. Prior to joining Johns Hopkins, he was a research scientist at CAIDA at UC San Diego.
Job Titles:
- Bloomberg Distinguished Professor
- Distinguished Professor
- Professor
Alexander Szalay is a Bloomberg Distinguished Professor, a professor in the Department of Computer Science and the director of the Institute for Data Intensive Engineering and Science.
Szalay is a cosmologist, with his research focused on working on the statistical measures of the spatial distribution of galaxies and galaxy formation.
He is a corresponding member of the Hungarian Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. In 2004 he received an Alexander Von Humboldt Award in Physical Sciences, in 2007 the Microsoft Jim Gray Award. In 2008 he became Doctor Honoris Causa of the Eotvos University, Budapest.
He received his BS in physics from Kossuth University, Hungary in 1969, his MS in theoretical physics in 1972, and his PhD in astrophysics in 1975 from Eötvös University, Budapest.
Job Titles:
- Advisor
- Associate Professor, Biomedical Engineering
Research Interests: Computational genomics, machine learning
Job Titles:
- Associate Teaching Professor
Job Titles:
- Professor, Applied Mathematics and Statistics
Job Titles:
- Co - Advised by Daniel Khashabi )
Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael Rivera-Soto, Marcus Bishop, and Nicholas Andrews
Job Titles:
- Postdoctoral Fellow, Langmead Lab
Job Titles:
- Executive Director of Johns Hopkins Information Security Institute and Co - Director of the Johns Hopkins Institute for Assured Autonomy
Job Titles:
- Associate
- Research Scientist
Job Titles:
- Doctor of Engineering Program Director and Associate Research Professor
Avi Rubin, a professor emeritus of computer science, former technical director of the Johns Hopkins University Information Security Institute (ISI), and founder of Harbor Labs, is recognized throughout academia, the computer science industry, and government for his expertise in computer security and applied cryptography.
Job Titles:
- Advisor
- Department of Computer Science
- Professor Emeritus
Research Interests: Internet of Things security, digital forensics
Job Titles:
- Advisor
- Associate Professor
- Department of Computer Science
Research Interests: Genomics, algorithms, transcriptomics
Ben Langmead, the 2016 recipient of the Benjamin Franklin Award for Open Access in Life Sciences, is recognized across the computational and life sciences fields for his innovative methods for analyzing high-throughput biological datasets, which are helping to transform how biomedical researchers and other life scientists access and use DNA sequencing data.
Langmead, associate professor of computer science and founder of the Johns Hopkins University Langmead Lab, studies and applies ideas from sequence alignment, text indexing, statistics, and high performance computing to create open-source software and resources for life scientists. DNA sequencing has become a ubiquitous tool in the study of biology, genetics, and disease, and Langmead's innovations include developing high-impact software tools (e.g. Bowtie, Bowtie 2) that address common genomics research questions. His lab created recount3, Snaptron, and other resources and tools that make it easy to query large collections of archived sequencing datasets. His group's software tools and resources have been cited tens of thousands of times according to Google Scholar.
Langmead, who received both the Alfred P. Sloan Research Fellowship and the National Science Foundation CAREER award in 2014, spent four years as an engineer at Reservoir Labs prior to his graduate studies. He first joined Johns Hopkins in 2009 as a research associate in the Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health. Langmead founded and organized the Genomics@JHU seminar series, which brings both junior and senior genomics researchers to speak at Johns Hopkins.
He is a member of the Association for Computing Machinery (ACM), the ACM Special Interest Group on Bioinformatics, Computational Biology, and Biomedical Informatics, the Institute of Electrical and Electronics Engineers, the International Society of Computational Biology, and the American Association for the Advancement of Science. He was the recipient of the 2018 Professor Joel Dean Excellence in Teaching Award in the JHU Department of Computer Science as well as the 2018 William H. Huggins Excellence in Teaching Award in the Whiting School of Engineering. In 2009, he won the Genome Biology Award for outstanding paper by the U.K.'s BioMed Central.
He is on the editorial boards of Genome Biology and the ACM Journal of Experimental Algorithmics and serves on the advisory board for Chile's Center for Biotechnology and Bioengineering. A sought-after manuscript reviewer, Langmead has also served on panels for the NSF CAREER award and the III Medical Informatics & Computational Biology. Since 2022, he is a standing member of the Biodata Management and Analysis (BDMA) Study Section at the National Institutes of Health. In addition to numerous conference leadership roles and presentations, he has served on the RECOMB and ISMB program committees and has chaired the program committee for the RECOMB Satellite Workshop on Massively Parallel Sequencing (RECOMB-seq).
He received a bachelor's in computer science, Phi Beta Kappa, and summa cum laude, from Columbia College, Columbia University in 2003, a master's (2009) and a doctorate (2012) in computer science from the University of Maryland.
Job Titles:
- Advisor
- Associate Professor
Research Interests: Natural language understanding, computational semantics, semantic representation
Job Titles:
- Bessie Darling Massey Professor of Biomedical Engineering
Job Titles:
- Professor, Applied Mathematics and Statistics
Job Titles:
- Assistant Professor, General Internal Medicine & Biomedical Engineering
Research Interests: Human-robot interaction, socially aware navigation
Job Titles:
- Assistant Research Professor
Job Titles:
- Senior Systems Engineer, JHU Information Security Institute / CS IT Support
Cleve Pasarell, Engr '04, is Vice President of Engineering at 6sense, a B2B marketing and sales technology company based in San Francisco. At 6sense he manages advertising technology, works with the Interactive Advertising Bureau, and helps coordinate engineering strategy, process, and security. Prior to joining 6sense, Pasarell founded and served as CTO of Granite Media, a marketing and advertising platform dedicated to generating new readership and revenue for publishers. Pasarell also is a founder and board member of Big Edition, a publishing company, and is a serial angel investor.
Job Titles:
- Co - Founder of Nebula Research and Development
Colin McCarthy is the co-founder of Nebula Research And Development, a quantitative hedge fund, where he applies statistical models to the financial markets looking for novel investment opportunities. Prior to his current role, Colin was a trader at Cubist Systematic Strategies for nine years, where he built out a statistical arbitrage & volatility trading business. During his career in the financial markets, Colin has also managed capital at several other firms including Fortress Investments, SwissRe Financial Products, and Tesseract Capital. He also worked in the technology sector for Warp Solutions, a startup focused on building distributed networking infrastructure software. He received a BS in computer science in 1998 from Johns Hopkins University and received an MS in computer science from Stanford University in 2000.
Job Titles:
- Assistant Research Professor
- Assistant Research Professor / Department of Computer Science
Craig Jones is interested in medical image processing and the creation and application of computer science to medical imaging.
Jones began his career in Magnetic Resonance Imaging and created automated algorithms for MS lesion segmentation. His degree work focused on extending numerical optimization algorithms for myelin water quantification from MRI images. Later, he worked on the creation of CEST MRI pulse sequences and the fitting of the data to quantify glycogen and amid protons. He also worked for a short time at the Space Telescope Science Institute creating and implementing image processing algorithms for Hubble and James Webb Space Telescope images.
His current work is in artificial intelligence and neural network image processing of MRI, CT, OCT datasets (both 2D and 3D), and Ultrasound with classification, regression, anomaly detection, and segmentation projects.
He is on the JHU PMAP Imaging and Data Science Sub-Committees.
Jones holds a BSc in Computer Science and Mathematics from Simon Fraser University (Burnaby, BC, Canada), and MSc in Medical Biophysics from the University of Western Ontario (London, Ontario, Canada) and a PhD in Physics from the University of British Columbia (Vancouver, BC, Canada).
Job Titles:
- Postdoctoral Fellow, HLTCOE
Job Titles:
- Professor in the Khoury College of Computer Science at North
Cristina Nita-Rotaru is a professor in the Khoury College of Computer Science at Northeastern University. She co-directs its Network and Distributed Systems Security Lab and is a founding member of the university's Cybersecurity and Privacy Institute. Prior to joining Northeastern University in 2015, she was a faculty member at Purdue University (from 2003). Nita-Rotaru is the recipient of several awards for her work in dependable and secure network protocols in distributed systems. She is a member of the International Federation for Information Processing's Working Group on Dependable Computing and Fault Tolerance and the steering committee of the ACM Symposium on Access Control Models and Technologies. She is additionally the vice-chair of the IEEE Technical Community on Dependable Computing and Fault Tolerance and is the chair of the steering committee of the Internet Society's Network and Distributed System Security Symposium. Nita-Rotaru earned a PhD from the Johns Hopkins University in 2003.
Job Titles:
- Technical Director of the Office of Coast Survey
David B. Enabnit was formerly the technical director of the Office of Coast Survey in the National Oceanic and Atmospheric Administration, where he handled technical and management responsibilities for computer-assisted cartographic system development and deployment; managed technical and business responsibilities for print-on-demand development and commercialization; and served as the head of the U.S. delegation to the international standards-setting body for marine navigation data and systems. He was also a lieutenant colonel in the U.S. Army Reserve with a duty station as staff to the director of army research. Enabnit is now retired and exploring other interests. He received his bachelor's and master's in physics from the Ohio State University and his master's in computer science and business from the Johns Hopkins University.
Job Titles:
- Associate Teaching Professor
Job Titles:
- Co - Advised by Mark Dredze )
Research Interests: Low-resource natural language processing, multilinguality
Job Titles:
- Associate Research Scientist, HLTCO
Job Titles:
- Associate Research Professor, Laboratory for Computational Sensing and Robotics
Job Titles:
- Associate Professor, Electrical and Computer Engineering, Mechanical Engineering, & Applied Mathematics and Statistics
Job Titles:
- Director of the National Science Foundation
Job Titles:
- Adjunct Professor, Radiology and Radiological Science
Job Titles:
- Associate
- Associate Teaching Professor
- Associate Teaching Professor / Department of Computer Science
- Member of Association for Computing Machinery 's Special Interest Group
Gagan Garg is an associate teaching professor in the Department of Computer Science. He came to the department from various appointments in India spanning 13 years, including 10 years lecturing at the Dhirubhai Ambani Institute of Information and Communication Technology.
Garg is a member of Association for Computing Machinery's Special Interest Group on Computer Science Education (ACM SIGCSE). He was a member of the program committee (demonstration) for SIGCSE's Technical Symposium in 2022.
Job Titles:
- Senior Services Executive at World Wide Technology
Gary Siegel is currently a senior services executive at World Wide Technology, where he works with clients to create and deliver technology solutions to "make a new world happen." Prior to WWT, he held various senior leadership roles at Accenture, NTT Data, and FAST Technology. A hands-on leader, Siegel holds a patent and has won a number of Quality Innovation Awards. He holds a master's degree in computer science and a bachelor's in computer engineering from the Johns Hopkins University.
Job Titles:
- Advisor
- Professor of Computer Science at Johns Hopkins University
Gregory D. Hager is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University and holds joint appointments in the Department of Electrical and Computer Engineering and the Department of Mechanical Engineering. Hager is known for his research on collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics. He has published more than 300 articles and books on these topics. Hager is the founding director of the Johns Hopkins Malone Center for Engineering in Healthcare, an interdisciplinary research center aimed at developing innovative healthcare technology and systems.
Hager's lab, the Computational Interaction and Robotics Lab (CIRL), studies problems that involve dynamic, spatial interaction at the intersection of imaging, robotics, and human-computer interaction. As a leader in the development of algorithms for real-time computer vision and their uses for robotics, Hager's work offers novel applications for automated surgical training, medical imaging and diagnostics, and computer-enhanced interventional medicine.
Hager's many contributions to the field of vision-based robotics have earned him status as an IEEE Fellow. Additionally, he has been named a Fellow of the MICCAI Society, the Association of Computing Machinery (ACM), the American Institute for Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS).
In 2014, he was awarded a Hans Fischer Fellowship at the Technical University of Munich's Institute of Advanced Study, where he also holds an appointment in computer science.
Hager has been a member of numerous prominent review committees and panels on Artificial Intelligence (AI), including Stanford University's inaugural "100 Year Study on Artificial Intelligence"; a roundtable on AI and foreign policy held by the National Academies of Science, Engineering, and Medicine; and a panel at the 2018 AAAS annual meeting on "Artificial Intelligence: Augmenting Not Replacing People." He co-chaired the 2015 review of the Networking and Information Technology Research and Development Program for the President's Council of Advisors on Science and Technology (PCAST). He is a member of the National Science Foundation's Computer and Information Science and Engineering (CISE) advisory committee, a member of the governing board of the International Federation of Robotics Research, and is chair emeritus of the Computing Community Consortium, as well as a board member of the Computing Research Association. He has served on the editorial boards of IEEE TRO, IEEE PAMI, and IJCV.
Hager also is a co-founder of two startups: Clear Guide Medical, whose groundbreaking platform enables doctors and technicians to perform more accurate ultrasound-guided procedures, and Ready Robotics, dedicated to making industrial robots easier to use.
Hager received his BA in mathematics and computer science (summa cum laude) at Luther College (1983), and his MS (1986) and PhD (1988) from the University of Pennsylvania. He was a Fulbright Fellow at the University of Karlsruhe, and was on the faculty of Yale University prior to joining Johns Hopkins in 1999. He has served as the deputy director of the NSF Engineering Research Center for Surgical Systems and Technology and as chair of the Department of Computer Science from 2010-2015.
Job Titles:
- Grants and Contracts Analyst
Jacob Green is a technology entrepreneur, based in Baltimore MD. He is a partner in SpreadConcepts LLC, a boutique consulting firm which develops advanced, research-based technology to address real-world problems in distributed systems and networking. He is one of the founding technical team members of LTN Global Communications where he currently serves as Director of Engineering. He co-founded D-fusion an early business intelligence web crawling firm. He holds BS ('99) and MS ('00) degrees from Johns Hopkins Department of Computer Science, as well as BA ('99) in physics.
Job Titles:
- Communications Specialist
Job Titles:
- Professor Emeritus, Applied Mathematics and Statistics
Job Titles:
- Associate Research Professor
Job Titles:
- Department of Computer Science
- Professor
Jason Eisner, a professor of computer science, is affiliated with the Center for Language and Speech Processing and the Human Language Technology Center of Excellence, and leads JHU's cross-departmental machine learning group. His goal is to develop the probabilistic modeling, inference, and learning techniques needed for a unified model of all kinds of linguistic structure. Eisner has written more than 100 papers in several areas of computational linguistics, especially parsing, grammar induction, machine translation, computational phonology, computational morphology, and weighted finite-state methods. He is also the lead designer of Dyna, a new declarative programming language that provides an infrastructure for AI research. He joined Johns Hopkins University in 2000.
He has a secondary appointment in the Department of Cognitive Science at the Krieger School of Arts and Sciences.
Eisner received an AB in Psychology from Harvard University in 1990; a BA/MA in Mathematics at the University of Cambridge (UK) in 1993; and a PhD in Computer Science at the University of Pennsylvania in 2001.
Job Titles:
- Assistant Professor, Biomedical Engineering
Job Titles:
- Assistant Professor, Biomedical Engineering
Job Titles:
- CEO of Siemens Molecular Imaging
Jim Williams is the CEO of Siemens Molecular Imaging and is based in Knoxville, TN. Prior to that he was seven years in Germany with Siemens responsible for interventional X-ray imaging. He received his PhD from JHU in 1998, working in the field of medical imaging and his undergraduate and masters degrees from Rice University.
Job Titles:
- Associate Teaching Professor, Associate Chair for Education, and Director of Undergraduate Studies
Joe Pistritto is an active consultant on data center and site reliability engineering (SRE) topics. He previously served as SRE director and site lead at Google's San Francisco office, where he managed teams running base infrastructure for services including networking, financial transactions, and setup/teardown of data center compute environments. Before that, he worked in global infrastructure capacity planning at Google, was vice president of engineering at several Bay Area startups, and was the VP of internet products at Oracle. Pistritto graduated from the Johns Hopkins University with both a BS and MS in electrical engineering.
Job Titles:
- Professor, Biomedical Engineering & Oncology
Job Titles:
- Assistant Professor
- Associate Professor
- Department of Computer Science / Department of Mechanical Engineering
- Professor
Suchi Saria is the John C. Malone Associate Professor of computer science at the Whiting School of Engineering and of statistics and health policy at the Bloomberg School of Public Health. She directs the Machine Learning and Healthcare Lab and is the founding research director of the Malone Center for Engineering in Healthcare.
Saria's goal is to use sophisticated computer science and the deluge of data available in health care and other settings to individualize patient care and to save lives. Her pioneering work centers on enabling new classes of diagnostic and treatment planning tools for health care-tools that use statistical machine-learning techniques to tease out subtle information from "messy" observational datasets and provide reliable inferences for individualizing care decisions.
Saria's work provides an entry point into a future in which the data collected from a large number of patients may reliably inform physicians about the best treatment plans for individual patients. For instance, algorithms that she created are being used today in hospitals to predict with startling accuracy which patients will succumb to deadly sepsis (a condition that annually kills more people than breast and prostate cancer combined)- work that led to her being named one of Popular Science magazine's "Brilliant 10" (2016); one of MIT's "35 Innovators Under 35" (2017); and a member of the World Economic Forum's Young Global Leaders (2018).
For another project, Saria and her team created an app that allows patients with Parkinson's disease to track their symptoms on their personal smartphones. Rather than relying on the subjective observations of a medical staff member in a clinical setting, giving patients the ability to report on their symptoms at any time of day, in a clinic or within their own home, can better capture the day-to-day variability of Parkinson's symptoms and provide doctors with a clearer picture of their patients' overall health and how well their medications are working.
This work is considered groundbreaking because though other mobile studies also collect data "in the wild," few have found ways to validate it clinically because that process requires the expensive and laborious collection of benchmark (also called "gold standard") data at home. Saria solved this issue by developing a machine learning framework that uses "weak supervision"-information that is inexpensive and readily collected at home-to train algorithms for progression monitoring from mobile data.
Saria's work has received recognition, including: best paper awards at machine learning, informatics, and medical venues; a Rambus Fellowship (2004-2010); an NSF Computing Innovation Fellowship (2011); selection by IEEE Intelligent Systems to Artificial Intelligence's "10 to Watch" (2015); the DARPA Young Faculty Award (2016); and the Sloan Research Fellowship (2018).
In 2017, Saria's work was among four research contributions presented by France Córdova, Director of the National Science Foundation, to the U.S. House of Representatives" Commerce, Justice Science Appropriations Committee.
She was invited to join the National Academy of Engineering's Frontiers of Engineering program in 2017 and, in 2018, to join the National Academy of Medicine's program for Emerging Leaders in Health and Medicine. Saria came to Johns Hopkins in 2012. Prior to that, she received her Ph.D. from Stanford University working with Daphne Koller.
Job Titles:
- Associate Professor, Biomedical Engineering, Biostatistics, Applied Mathematics and Statistics, & Neuroscience
Job Titles:
- Professor of Electrical and Computer Engineering
Job Titles:
- Assistant Research Professor
Job Titles:
- Associate Research Scientist, HLTCOE
Job Titles:
- Assistant Research Professor
- Assistant Research Professor / Department of Computer Science
- Assistant Research Professor in Computer Science at the Johns Hopkins University
Kevin Duh is an assistant research professor in Computer Science at the Johns Hopkins University and a research scientist at the Human Language Technology Center of Excellence. He also is affiliated with the Center for Language and Speech Processing. His research interests lie at the intersection of natural language processing and machine learning, in particular on areas relating to multilingual NLP, semantics, and deep learning. Prior to joining JHU, he was assistant professor at the Nara Institute of Science and Technology (2012-2015) and research associate at NTT CS Labs (2009-2012) in Japan. He earned his BS ('03) from Rice University, and his MS ('06) and PhD ('09) from the University of Washington.
Job Titles:
- Academic Program Manager, PhD Program
Job Titles:
- Senior Grants and Contracts Analyst
Job Titles:
- CTO of Workday 's Planning Business Unit
Kumar Ramaiyer is the CTO of Workday's Planning Business Unit. Based in Cupertino, California, he has focused on planning and analytical problems for the last 20 years at Workday, Oracle, and a startup company later acquired by Oracle. His recent interests include using machine learning and data science to create intelligent plans for different domains and the use of conversational and generative artificial intelligence to improve the overall planning experience. Ramaiyer received his PhD in computer science from Johns Hopkins University in 1996.
Job Titles:
- Associate Research Professor, ISI Assistant Technical Director
Job Titles:
- Grants and Contracts Manager
Job Titles:
- Advisor
- Associate Professor, Genetic Medicine
Research Interests: Machine learning, computational genomics
Job Titles:
- Administrative Specialist
Job Titles:
- Department Head and Professor
Job Titles:
- Professor, Mechanical Engineering
Job Titles:
- Senior Academic Program Coordinator, Undergraduate Program
Job Titles:
- Advisor
- Associate Head of Research and Strategic Initiatives and John C. Malone Professor
Research Interests: Multi-view machine learning, longitudinal modeling, clinical decision support, mental health
Research Interests: Social media, fairness in health care, human-computer interaction
Job Titles:
- Advisor
- Associate Professor
- Department of Computer Science
Research Interests: Applied cryptography, security, privacy, technology policy
Matthew D. Green, an associate professor of computer science and member of the Johns Hopkins University Information Security Institute, is a nationally recognized expert on applied cryptography and cryptographic engineering. His research includes techniques for privacy-enhanced information storage, anonymous payment systems, and bilinear map-based cryptography. He is one of the creators of the Zerocash protocol, which is used by the Zcash cryptocurrency, and a founder of an encryption startup Zeutro. He is the author of a popular blog, "A Few Thoughts on Cryptographic Engineering," and he has more than 99K followers on Twitter.
Job Titles:
- Senior Academic Program Coordinator, Graduate Programs
Job Titles:
- Advisor
- Professor, Orthopaedic Surgery & Mechanical Engineering
Research Interests: Robot-assisted medical procedures, augmented reality
Job Titles:
- Executive Director at Morgan Stanley Wealth Management
Melanie Dorn is an Executive Director at Morgan Stanley Wealth Management. She is a manager in Field Management Technology, currently focused on Financial Advisor Compensation and Solutions Architect for Investment Solutions Technology. Melanie earned a BS in Computer Science from Johns Hopkins University. Prior to joining Morgan Stanley in 2015, she held several leadership positions in technology at UBS and Prudential Securities, designing and implementing new systems allowing financial advisors to expand their business for the firms.
Melanie won the FinTech Futures Tech Leadership Award at the 20th annual Banking Technology Awards, and was named a 2019 Transformation Leader of the Year Finalist at the Women in IT Awards.
Job Titles:
- Advisor
- Department of Computer Science
- Professor
Research Interests: Geometry processing, perceptual visualization
Michael (Misha) Kazhdan, a professor of computer science, is considered a leader in image and geometry processing, particularly in surface reconstruction and shape analysis. He is affiliated with Johns Hopkins' Institute for Data-Intensive Engineering and Science (IDIES).
Job Titles:
- Advisor
- Associate Professor
Research Interests: Graph algorithms, approximation algorithms
Job Titles:
- Bessie Darling Massey Professor of Biomedical Engineering
Job Titles:
- Assistant Research Professor
- Assistant Research Professor / Department of Computer Science
Michael Oberst is an assistant research professor of computer science and a member of the Malone Center for Engineering in Healthcare.
Oberst's research focuses on reliable machine learning for decision-making in health care. His long-term goal is to ensure that machine learning systems are as reliable as any FDA-approved medication or diagnostic test. His work has been published in machine learning conferences such as NeurIPS, ICML, and AISTATS; his research has additionally appeared in Science Translational Medicine.
Oberst received a BS in statistics from Harvard University and a PhD in computer science from MIT. Prior to joining Johns Hopkins, he was a postdoctoral associate in the Machine Learning Department at Carnegie Mellon University.
Job Titles:
- Advisor
- Bloomberg Distinguished Professor
- Distinguished Professor of Computer Science and Biology at Johns Hopkins University
Research Interests: Algorithms, computational genomics, deep learning, genomic privacy, cryptography and computer security
Michael Schatz, Bloomberg Distinguished Professor of Computer Science and Biology at Johns Hopkins University, is among the world's foremost experts in solving computational problems in genomics research. His innovative biotechnologies and computational tools to study the sequence and function of genomes are advancing the understanding of the structure, evolution, and function of genomes for medicine - particularly autism spectrum disorders, cancer, and other human diseases - and agriculture.
Job Titles:
- Associate Professor, Biomedical Engineering & Genetic Medicine
Job Titles:
- Lecturer
- Lecturer / Department of Computer Science
Job Titles:
- Senior Lecturer in the Department of Computer Science
Mohammed Ali Darvish is a senior lecturer in the Department of Computer Science. His interests include software engineering, software testing, and computer science education.
He received his MSc in Software Engineering at Chalmers University of Technology (Sweden) in 2010, and his PhD in Computer Science at Iowa State University in 2015.
Job Titles:
- Postdoctoral Fellow, Langmead Lab
Job Titles:
- Assistant Research Scientist, HLTCOE
- Marcus Bishop
Nick Culbertson is the CEO of Protenus, a Baltimore-based artificial intelligence company that specializes in health care compliance analytics. Prior to co-founding Protenus, Culbertson was a fellow at the Institute for Critical Infrastructure Technology and a medical student at the Johns Hopkins University. Culbertson served eight years as a U.S. Army Special Operations "Green Beret," specializing in human intelligence network development and analysis. He is an active member of Baltimore's non-profit community as an Albert Schweitzer Fellow and a board member of The 6th Branch, a veteran-led community revitalization organization. Culbertson received his bachelor's degree from the Johns Hopkins University.
Job Titles:
- Assistant Professor, Applied Mathematics and Statistics
Job Titles:
- Professor, Mechanical Engineering
Job Titles:
- Associate Product Manager at Google
Noah Presler is an Associate Product Manager at Google/Alphabet Inc. He co-founded and co-created Semester.ly, a platform that makes college more collaborative and stress free by bringing technology to difficult areas like course registration. It is used regularly by thousands of students at the Johns Hopkins University. Noah graduated from the Whiting School of Engineering in 2017 with a Bachelors of Science in computer science and minors in both applied mathematics and statistics and entrepreneurship and management. He hopes to combine these diverse subject areas to create impactful technologies that improve people's lives at scale.
Job Titles:
- Advisor
- Assistant Research Professor
Research Interests: Mobile systems, reliable systems, operating systems
Research Interests: Distributed systems, operating systems, cloud service availability
Job Titles:
- Advisor
- Research Professor
Research Interests: Embedded systems, machine learning, deep learning
Job Titles:
- Department of Computer Science
- Professor
Philipp Koehn, professor of computer science, is recognized worldwide for his leading research in and applications for developing and understanding data-driven methods to solve long-standing, real-world challenges of machine translation and machine learning.
Job Titles:
- Senior Systems Engineer / CS IT Support
Job Titles:
- Postdoctoral Fellow, Schatz Lab
Job Titles:
- Professor, Biomedical Engineering & Oncology
Job Titles:
- Director of the Johns Hopkins Applied Physics Laboratory
Job Titles:
- Advisor
- Bloomberg Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering
Research Interests: Computer vision, biometrics, gait recognition
Job Titles:
- Assistant Professor
- Department of Computer Science
Raman Arora is an assistant professor in computer science and a member of the Mathematical Institute for Data Science, the Center for Language and Speech Processing, and the Institute for Data Intensive Engineering and Science.
He is interested in machine learning; statistical signal processing; stochastic approximation algorithms; and applications to speech and language processing, and his research focuses on developing representation learning techniques that can capitalize on unlabeled data, which is often cheap and abundant and virtually unlimited. The goal of these techniques is to learn a representation that reveals intrinsic low-dimensional structure in data, disentangles underlying factors of variation in data by incorporating universal priors such as smoothness and sparsity and is useful across multiple tasks and domains.
Arora earned his MS and PhD degrees in Electrical and Computer Engineering from the University of Wisconsin-Madison in 2005 and 2009, respectively. From 2009 to 2011, he was a postdoctoral research associate at the University of Washington and a visiting researcher at Microsoft Research Redmond. He came to Johns Hopkins from Toyota Technological Institute at Chicago, where he was a research assistant professor and postdoctoral scholar.
Job Titles:
- Advisor
- Bill and Lisa Stromberg Department Head and Professor
Research Interests: Scalable algorithms, graph machine learning, computer vision
Randal Burns is the Bill and Lisa Stromberg Department Head and a professor in the Department of Computer Science. His research interests lie in building high-performance, scalable data systems that allow scientists to make discoveries through the exploration, mining, and statistical analysis of big data. Recently, he has focused primarily on high-throughput neuroscience but retains a vigorous interest in high-performance computing numerical simulations.
Burns is both a member of and on the steering committee of the Kavli Neuroscience Discovery Institute. He is a member of the Institute for Data-Intensive Science and Engineering (IDIES). He is on the steering committee of the Science of Learning Institute. He was a research staff member in storage systems at IBM's Almaden Research Center from 1996 to 2002. He earned his BS in Geophysics at Stanford University (1993), and his MS (1997) and PhD (2000) in Computer Science at the University of California, Santa Cruz.
Job Titles:
- Associate Professor, Chemical and Biomolecular Engineering
Job Titles:
- Research Scientist, HLTCOE
Job Titles:
- Academic Program Manager, Master 's Programs
Russell H. Taylor is the John C. Malone Professor in the Department of Computer Science, and the director of the Laboratory for Computational Sensing and Robotics, and of the (graduated) NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (CISST ERC).
Taylor's research interests include robotics, human-machine cooperative systems, medical imaging and modeling, and computer-integrated interventional systems. He is editor-in-chief emeritus of the IEEE Transactions on Robotics and Automation, and has served on numerous other editorial and scientific advisory boards.
In 1994 he was elected as a Fellow of the IEEE "for contributions in the theory and implementation of programmable sensor-based robot systems and their application to surgery and manufacturing", and he is also a fellow of the National Academy of Inventors, of the AIMBE, of the MICCAI Society, and of the Engineering School of the University of Tokyo. In 2020, Taylor was elected to the National Academy of Engineering "for contributions to the development of medical robotics and computer-integrated systems."
He is also a recipient of numerous awards, including four IBM Outstanding Achievement Awards, four IBM Invention Awards, the Maurice Müller Award for Excellence in Computer-Assisted Orthopaedic Surgery, the IEEE Robotics Pioneer Award, the IEEE EMBS Technical Field Award, the MICCAI Society Enduring Impact Award, and the Honda Prize.
Taylor has more than 40 years of professional experience in the fields of computer science, robotics, and computer-integrated interventional medicine. He received a Bachelor of Engineering Science degree from Johns Hopkins University in 1970 and a PhD in Computer Science from Stanford University in 1976.
He joined IBM Research in 1976, where he developed the AML robot language and managed the Automation Technology Department and (later) the Computer-Assisted Surgery Group before moving in 1995 to Johns Hopkins.
Job Titles:
- Edward J. Schaefer Professor Emeritus
Rao Kosaraju, the Edward J. Schaefer Professor Emeritus in Engineering in the Department of Computer Science, is a theorist specializing in applied algorithms. He is a member of the Theory and Programming Languages Group. He joined Johns Hopkins in 1969.
Job Titles:
- Grants and Contracts Analyst
Job Titles:
- Postdoctoral Fellow, Schatz Lab
Job Titles:
- Senior Director of Engineering for AI
Sandeep Singhal is the senior director of engineering for AI systems at Meta (formerly Facebook), leading shared training, model processing, inferencing, and serving infrastructure. He previously led the company's areas of storage infrastructure, powering product, analytics, and machine learning. He has held leadership roles at Google (leading Cloud Storage), Microsoft (GM for Bing Maps and Local Search, Internet Explorer, and Windows networking), and IBM (chief architect for its pervasive computing division). Singhal co-founded ReefEdge Networks, a pioneer in wireless LAN security, mobility, and management products. He has also served on advisory panels supporting the Defense Advanced Research Projects Agency, the National Research Council, and the European Commission. His credits include 78 issued patents and dozens of publications, including three books. Singhal holds MS and PhD degrees in computer science from Stanford University, as well as bachelor's degrees in computer science, mathematical sciences, and mathematics from the Johns Hopkins University.
Job Titles:
- Associate Professor, Electrical and Computer Engineering
Job Titles:
- Associate Teaching Professor
Job Titles:
- Professor
- Professor, Director of Graduate Studies
- Professor, Director of Graduate Studies / Department of Computer Science
Scott Smith, a professor of computer science, has research interests in a number of areas in programming languages. He served as chair of the Department of Computer Science from 2004 to 2010 and currently serves as the director of graduate studies for the Department of Computer Science.
Job Titles:
- Co - Advised by Kevin Duh )
Job Titles:
- LAN Systems Specialist & Assistant Systems Administrator / CS IT Support
Job Titles:
- IT Services Managers & Senior Linux / Unix Administrator
Job Titles:
- Bloomberg Distinguished Professor
- Distinguished Professor
Susan B. Davidson is the Weiss Professor of Computer and Information Science at the University of Pennsylvania, where she has been since 1982. Her research interests include database and web-based systems, scientific data management, provenance, crowdsourcing, and data citation. Davidson received a bachelor's in mathematics from Cornell University in 1978 and a master's and PhD in electrical engineering and computer science from Princeton University in 1980 and 1982, respectively.
Job Titles:
- Research Professor
- Research Professor / Department of Computer Science
Susan Hohenberger, a research professor in the Department of Computer Science, is a member of the Johns Hopkins University Information Security Institute. She focuses on cryptography and computer security.
She is the recipient of an NSF CAREER Award, a Google Faculty Research Award, and a Microsoft Research Faculty Fellowship. She is a co-founder of Zeutro, LLC.
Hohenberger received BS from Ohio State University and a PhD from the Massachusetts Institute of Technology, both in Computer Science. Prior to joining Hopkins, she was a postdoc at IBM Research in Zurich, Switzerland.
Job Titles:
- Associate Professor, Applied Mathematics and Statistics & Physics and Astronomy
Job Titles:
- Associate Research Professor
- Associate Research Professor / Department of Computer Science
Thomas (Tom) Lippincott is an associate research professor of computer science, director of the Center for Digital Humanitie s, is affiliated with the Center for Language and Speech Processing, and is a research scientist in the Human Language Technology Center of Excellence, with secondary appointment in the Alexander Grass Humanities Institute.
His research focuses on how machine learning can support and facilitate traditional scholarship in the humanities, particularly the use of unsupervised models structured for interpretability and isomorphism with respect to a domain of interest. He received his BA in Philosophy and Computer Science from the University of Chicago ('06), MS in Computer Science from Columbia University ('08), and PhD in Computational Linguistics from Cambridge University ('15).
Job Titles:
- Administrative Coordinator
Job Titles:
- Associate Professor, Electrical and Computer Engineering
Job Titles:
- Associate Professor
- Department of Computer Science
Vladimir Braverman is an associate professor of computer science whose research focuses on streaming and sketching algorithms, sub-linear algorithms, and their applications to data science, software-defined networks, cosmology, and machine learning. He has a secondary appointment in the Department of Applied Mathematics and Statistics, and is a member of the Institute for Data-Intensive Science and Engineering (IDIES) and sits on the executive committee of the Johns Hopkins Mathematical Institute for Data Science (MINDS).
Braverman received his BS and MS degrees from Ben-Gurion University of the Negev (Israel) and his PhD from the University of California, Los Angeles. He was a recipient of the National Science Foundation's Early CAREER Award in 2017.
Job Titles:
- Professor of Electrical and Computer Engineering
Job Titles:
- Assistant Research Professor
Job Titles:
- MSSI Program Director and Associate Teaching Professor
- MSSI Program Director and Associate Teaching Professor / Department of Computer Science
Xiangyang Li has been working for a long time in computer and system security, user modeling and intelligent systems, simulation and modeling, and knowledge discovery and engineering. He has contributed to many projects on computer security, user modeling and assistance, and information fusion funded by DARPA, Air Force Research Lab, the University of Michigan, and Rensselaer Polytechnic Institute. He has extensive experience of advising students, designing and directing student projects, and curriculum development. Xiangyang Li got his Ph.D. from Arizona State University.
Job Titles:
- Associate Professor
- Department of Computer Science
Xin Li, an associate professor of computer science, is known for his research in theoretical computer science, including pseudorandomness, complexity theory, distributed computing, and cryptography.
Job Titles:
- Advisor
- Department of Computer Science
- Professor
- Professor Emeritus
Yair Amir, professor emeritus of computer science and director of the Distributed Systems and Networks (DSN) Lab, is a leading inventor of resilient, performant, and secure distributed systems. His innovations are making a difference across industry and in classrooms and research labs around the world.
Amir is a creator of the Spread toolkit, the first scalable group communication system with strong semantics. He led Secure Spread, developing the first robust key agreement protocols, as well as the Spines overlay network platform, the SMesh wireless mesh network (the first seamless 802.11 mesh with fast lossless handoff), the Prime Byzantine replication engine (the first to provide performance guarantees while under attack) and the Spire intrusion-tolerant SCADA for the power grid (the first to protect against both system-level and network-level attacks and compromises). Some of these technologies are deployed in mission-critical systems, support data center applications, are included in commercial products, and are used for research and teaching in universities and research labs around the world. Amir, who holds 11 patents, continues to break new ground with his software innovations through enhanced releases.
Job Titles:
- Assistant Professor and Technical Director of the JHU Information Security Institute
Job Titles:
- Co - Advised With Matthew Wiesner )
Hiring: I am actively recruiting postdoctoral fellows interested in generation, particularly in the areas of speech synthesis and detection of synthesized speech. Please feel free to contact me directly if you are interested! For PhD programs, please refer to this link for detailed instructions on how to apply.