MCS - Key Persons
Amanda is the Student Services Officer (SSO) for the MCS program and the new Data Science program. She recently moved to the Bay Area from Michigan. Before coming to Stanford, she was a high school English and math teacher for over ten years, and for much of that time, she also served as an advisor to middle college students. She is excited to now have the opportunity to support students in this new role outside of the classroom. You'll meet with Amanda when you're ready to declare your major. She loves chatting with students, so please also feel free to reach out to her when you have a question, need a thought partner in navigating a challenge, or simply want to say hi or tell her how your quarter is going. In her free time, Amanda enjoys reading, creative writing, improv, hiking, and volunteering at a local animal shelter.
Andrew Hong (he/him) Hey, I'm a junior from Seattle in the Data Science & Social Systems major doing my own independent pathway! Academically, I love applying data science to politics and learning about social behavior from data. I'm planning to do Stanford in Washington and co-term in MS&E. Outside school, I've done data for campaigns, consulting firms, research labs, data journalism, and independent consulting. Outside work, I like spicy food adventures, Wikipedia rabbit holes, and am trying to become a granola. Come chat with me about mixing STEM with social sciences, coming from a low-resourced high school, class recs, and finding fulfilling careers.
Job Titles:
- Member of the Steering Committee
- Professor of Mathematics, Department of Mathematics, Stanford University
Job Titles:
- Robert Grimmett Professor of Mathematics
- Robert Grimmett Professor of Mathematics / Department / Mathematics
Job Titles:
- Professor of Biomedical Data Science and of Statistics
- Professor of Biomedical Data Science and of Statistics / Department
Dmitrii Skvortsov (he/him) Hi! I'm a junior, double-majoring in Data Science (BS) and Chemistry. I am interested in using reinforcement learning and stochastic calculus to tackle problems in quantitative trading and derivative pricing. Beyond academics, I'm also enthusiastic about teaching and sharing. This summer I worked as a TA for organic chemistry classes, which ignited my desire to help others learn. If you have any questions about BS Data Science major requirements, or choosing classes in the MATH, CS, and STATS departments, don't hesitate to ask. Additionally, I love exploring new cultures and places, and as an international student from Russia, I'm eager to discuss Russian Literature.
Job Titles:
- Member of the Steering Committee
- Barnum - Simons Chair
Emmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, a professor of electrical engineering (by courtesy) and a member of the Institute of Computational and Mathematical Engineering at Stanford University. Earlier, Candès was the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. His research interests are in computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization with applications to the imaging sciences, scientific computing and inverse problems. He received his Ph.D. in statistics from Stanford University in 1998.
Job Titles:
- Robert Grimmett Professor of Mathematics
- Robert Grimmett Professor of Mathematics / Department / Mathematics
Job Titles:
- Professor of Statistics / Associate Director
- Professor of Statistics / Department
Guenther Walther studied mathematics, economics, and computer science at the University of Karlsruhe in Germany and received his Ph.D. in Statistics from UC Berkeley in 1994.
His research has focused on statistical methodology for detection problems, shape-restricted inference, and mixture analysis, and on statistical problems in astrophysics and in flow cytometry.
He received a Terman fellowship, a NSF CAREER award, and the Distinguished Teaching Award of the Dean of Humanities and Sciences at Stanford. He has served on the editorial boards of the Journal of Computational and Graphical Statistics, the Journal of the Royal Statistical Society, the Annals of Statistics, the Annals of Applied Statistics, and Statistical Science. He was program co-chair of the 2006 Annual Meeting of the Institute of Mathematical Statistics and served on the executive committee of IMS from 1998 to 2012.
Hi! My name is Hannah, and I'm a senior from Fort Collins, Colorado. I'm an MCS major on the biology track with interests spanning data science in healthcare and finance/banking. I have a lot of personal experience going through the process of choosing majors and pondering career paths, so feel free to come and chat with me if you want someone to talk through these choices together. Outside of academics, I love finding good restaurants and recreationally swimming or figure skating!
Job Titles:
- Advisor
- Associate Professor of Management Science and Engineering
Job Titles:
- Advisor
- Associate Professor of Statistics, of Electrical Engineering and, by Courtesy, of Computer Science
John Duchi (http://web.stanford.edu/ jduchi/) is an assistant professor of Statistics and Electrical Engineering and (by courtesy) Computer Science at Stanford University. His work spans statistical learning, optimization, information theory, and computation, with a few driving goals. (1) To discover statistical learning procedures that optimally trade between resources--computation, communication, privacy provided to study participants--while maintaining good statistical performance. (2) To build efficient large-scale optimization methods that address the spectrum of optimization, machine learning, and data analysis problems we face, allowing us to move beyond bespoke solutions to methods that robustly work. (3) To develop tools to assess and guarantee the validity of--and confidence we should have in--machine-learned systems.
Job Titles:
- Professor of Statistics
- Professor of Statistics / Department
- Student Services
Hi, my name is Joyce! I'm a junior from London, England studying MCS with a minor in Creative Writing. I'm interested in social impact applications of AI/ML and data journalism. During the year, I lead the Stanford Daily's Editorial Board and will soon start research in the Communications dept. building tools for journalists. Over the past two summers, I did research in the Human Computer Interaction group (CURIS) and an internship at a hedge fund. Please come chat with me about anything -- whether that's finding research opportunities, applying for internships and exploring careers, or balancing MCS/Data Science with other classes. Also come to figure out whether the Data Science major/minor is right for you! (Very probably, in my unbiased opinion). In my spare time, I love reading novels and discussing movie theories, so hit me with your best ones.
Matthias Jiro Walther (he/him) Hi all! My name is Jiro and I am a junior from Menlo Park, CA. I am majoring in Data Science & Social Systems on the Technology & Society pathway with a minor in German Studies. I am interested in researching data privacy and the consequences of technology's influence on our world. After studying abroad and interning in Berlin, I decided to minor in German Studies to connect with my German heritage, so if you have any questions regarding BOSP, minoring, or internships, please reach out! Also feel free to chat with me about research opportunities, classes, work-life balance, or anything else that is on your mind. Outside of academics, I love winter sports, adventuring with friends, and serving at NOLA in Downtown Palo Alto.
Job Titles:
- Founding Director of the Center for Turbulence Research
Franklin P. and Caroline M. Johnson Professor in the School of Engineering
Moin is the founding director of the Center for Turbulence Research. Established in 1987 as a research consortium between NASA and Stanford, Center for Turbulence Research is devoted to fundamental studies of turbulent flows. Center of Turbulence Research is widely recognized as the international focal point for turbulence research, attracting diverse groups of researchers from engineering, mathematics and physics. He was the founding director of the Institute for Computational and Mathematical Engineering at Stanford.
Job Titles:
- Associate Professor of Computer Science and, by Courtesy, of Statistics
- Associate Professor of Computer Science at Stanford University
Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).
Peter W. Glynn is the Thomas Ford Professor in the Department of Management Science and Engineering (MS&E) at Stanford University, and also holds a courtesy appointment in the Department of Electrical Engineering.. He received his Ph.D in Operations Research from Stanford University in 1982. He then joined the faculty of the University of Wisconsin at Madison, where he held a joint appointment between the Industrial Engineering Department and Mathematics Research Center, and courtesy appointments in Computer Science and Mathematics. In 1987, he returned to Stanford, where he joined the Department of Operations Research. From 1999 to 2005, he served as Deputy Chair of the Department of Management Science and Engineering, and was Director of Stanford's Institute for Computational and Mathematical Engineering from 2006 until 2010. He served as Chair of MS&E from 2011 through 2015. He is a Fellow of INFORMS and a Fellow of the Institute of Mathematical Statistics, has been co-winner of Best Publication Awards from the INFORMS Simulation Society in 1993 and 2008, was a co-winner of the Best (Biannual) Publication Award from the INFORMS Applied Probability Society in 2009, and was the co-winner of the John von Neumann Theory Prize from INFORMS in 2010. In 2012, he was elected to the National Academy of Engineering.
His research centers on computational algorithms, mathematical approximations, statistical methodology, and optimization methods for the analysis of systems in which uncertainty is present. He has developed algorithms that are widely used across the field of Monte Carlo simulation. Applications include financial risk management, service systems engineering, logistics, and retail operations.
Job Titles:
- Professor of Management Science and Engineering and, by Courtesy, of Electrical Engineering and of Computer Science
- Professor of Management Science and Engineering and, by Courtesy, of Electrical Engineering and of Computer Science / Department
Johari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).
Hi! My name is Richa, and I am a senior from San Diego, CA. I'm double majoring in data science (B.A.) and public policy on the healthcare track and am interested in the application of data science in health tech, electronic health records, and tech policy. I also studied abroad at Oxford, so I would love to answer any questions about double majoring, studying abroad, and planning your schedule so you can do it all! Outside of classes, I enjoy learning new styles of dance, videography, and trying new foods!
Job Titles:
- Robert Grimmett Professor of Mathematics
- Robert Grimmett Professor of Mathematics / Department / Mathematics
Job Titles:
- Member of the Steering Committee
Job Titles:
- Professor in the School of Engineering and Professor, by Courtesy, of Electrical Engineering
Thomas W. Ford Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering