BIFOLD - Key Persons
Adrian Hill is a PhD student at the TU Berlin Machine Learning Group. He received his M.Sc. in Engineering Science at TU Berlin with a focus on numerics and control theory. His research interests lie at the intersection of Machine Learning and dynamical systems.
RESEARCH INTERESTS
Neural ODEs
Inverse Problems
Molecular dynamics
Automatic Differentiation
Explainable AI
Job Titles:
- Research Group Lead / Charité / Fellow
Alexander Warnecke is a PhD student at the MLSEC group of Konrad Rieck at TU Berlin. he received his Bachlor degree in Mathematics and his Master degree in Computer Science from the University of Göttingen.
RESEARCH INTERESTS
Machine Learning for Security Applications
Machine Unlearning
Attacks on Machine Learning Systems
Job Titles:
- Member of the Management Team
- Management
For inquiries concerning open positions or BIFOLD activities such as research and education, please contact coordination@bifold.berlin.
Job Titles:
- Doctoral Researcher
- Researcher at TU Berlin
Ankit Chaudhary is a doctoral researcher at TU Berlin (DIMA). Before starting at TU Berlin, he spent around ten years working in the industry in various capacities. He completed his M.Sc. in Computer Science focused on distributed systems, and holds an Engineering degree in Information Technology. His research interests lie in the intersection of stream processing, fog/cloud computing, and big data systems. His current research focuses on building a robust and scalable optimizer for NebulaStream (www.nebula.stream) platform.
RESEARCH INTERESTS
Distributed Systems
Stream Processing Systems
Database Systems
Job Titles:
- Doctoral Researcher
- Doctoral Researcher / Member of Graduate School
Ariane Ziehn is a Ph.D. candidate at the DIMA group. She received her M.Sc. in Information Systems Management at TU Berlin with a focus on distributed systems as well as data and software engineering.
RESEARCH INTERESTS
Distributed systems
Complex event processing
IoT environments
Arnab is currently a Ph.D. student in the Electrical Engineering and Computer Science faculty at TU Berlin, Berlin, Germany. He is a member of the DAMS Lab headed by Matthias Boehm. Before joining TU Berlin, he was a Ph.D. student at TU Graz, Austria, and prior to that, he was a Sr. Software Engineer at Teradata Labs, Hyderabad, India.
RESEARCH INTERESTS
Systems for ML
Data Management for Data Science
Distributed Data Platforms
Database Systems
Job Titles:
- Doctoral Researcher
- Doctoral Researcher / RESEARCH INTERESTS
Job Titles:
- Research Associate
- Doctoral Researcher
Christopher J. Anders is a research associate working in the Machine Learning Group of Technische Universität Berlin. He received his M.Sc. in Computer Science at Technische Universität Berlin in 2018. His research involves explainable AI and understanding of large scale machine learning models.
Mina Jamshidi is a postdoctoral researcher working at the machine learning group, TU Berlin. She received her Ph.D. in machine learning from TU Berlin in 2022. She conducted her doctoral research at the Max Planck Institute CBS from 2018-2022. Her research involves using and developing ML methods for biomedical data analysis, including neural data analysis and computational pathology.
RESEARCH INTERESTS
Biomedical Data Analysis
Computational Pathology
Neural Data Analysis
MEMBERSHIPS
IEEE member
Job Titles:
- Graduate School Coordination
Job Titles:
- Head of the Independent Research Group "Intelligent Biomedical Sensing ( IBS ) "
- Research Group Lead
Alexander von Lühmann is currently the head of the independent research group "Intelligent Biomedical Sensing (IBS)" at BIFOLD, Machine Learning Dept, TU Berlin. He is also a visiting researcher at the Neurophotonics Center of Boston University (BU NPC) and Chief Scientific Officer at NIRx Medical Technologies. Previously, he was R&D director at NIRx, post-doc at BU NPC, visiting researcher at the Martinos Center of Harvard Medical School in Boston, USA, and Chief Technology Officer of Crely, a US-Singapore-based healthcare startup. He received his PhD (Dr.-Ing.) with distinction in 2018 from Technische universität Berlin (TU Berlin) and the M.Sc. and B.Sc. degrees in Electrical Engineering from Karlsruhe Institute of Technology (KIT) in 2014/11.
At the Intelligent Biomedical Sensing(IBS) Lab, Alexander von Lühmann research focuses on machine learning and instruments for comprehensive brain-body monitoring. The IBS lab develops miniaturized wearable neurotechnology and body-worn sensors for unobtrusive monitoring of the embodied brain in the everyday world. It uses machine learning on the multimodal sensor data, together with environmental context information, to contribute to a paradigm shift in individualized comprehensive understanding of physical and mental health: Toward intelligent assessment and treatment of physical and mental states and risk factors. Current focus is on instrumentation for diffuse optics and biopotentials (fNIRS, DOT, EEG, ExG) and using machine learning for multimodal biomarker discovery, novel approaches in modelling physiology, latent component analysis, and identification of physiological transfer functions.
Job Titles:
- Member of the Machine Learning Group at TU Berlin
- Postdoctoral Researcher
Andreas Ziehe is a member of the machine learning group at TU Berlin. He studied computer science at the Humboldt University of Berlin and earned a Diplom degree in 1998. He received his doctorate in natural sciences (Dr. rer. nat.) from the University of Potsdam in 2005. Prior to joining BIFOLD in 2022, he worked as postdoctoral researcher and project leader in several research projects at the Fraunhofer Institute FIRST and TU Berlin.
RESEARCH INTERESTS
Biomedical Signal Processing, Speech and Audio processing
Independent Component Analysis
Machine Learning
Eike Middell graduated in astroparticle physics while working on neutrino telescopes in Siberia and Antarctica. These experiments instrumented large bodies of water and glacial ice with optical sensors to detect the faint light created by cosmic-ray particles interacting with matter. Subsequently, he transitioned to the field of neuroimaging with a focus on improving the digital signal processing of functional near-infrared spectroscopy (fNIRS) imagers, specifically in the context of assessing side-effects and potential improvements of deep brain stimulation for Parkinson's disease. Eventually, his role in a small team involved overseeing the software development of a portable near-infrared spectrometer from conception to market release. Further on, as a freelancing scientific software developer he contributed to diverse projects, such as forecasting financial time series and improving the safety of industrial plants by using spectroscopic measurements from remote sensors to infer the distribution of leaked gas clouds.
RESEARCH INTERESTS
Functional near-infrared spectroscopy (fNIRS) measurement and analysis techniques
Inverse problems, particularly fNIRS image reconstruction
Machine learning methods for multimodal sensor data to improve the utilization of physiological information during data analysis
Job Titles:
- Head of Scientific Strategy
Job Titles:
- Postdoctoral Researcher
- Researcher at the Research Group Internet Network Architectures
Habib Mostafaei is a postdoctoral researcher at the research group Internet Network Architectures (INET) of Technische Universität Berlin. At Berlin Institute for the Foundations of Data, he works on networking problems for big data analytics. He received his Ph.D. at the Computer Networks group of Department of Engineering of Roma Tre University under supervision of Prof. Di Battista in 2019.
RESEARCH INTERESTS
Software-Defined Networking(SDN)
Inter-domain routing
Network measurements
Job Titles:
- External Partner
- Research Associate
Jochen Büttner received his physics diploma from the Freie Universität Berlin in 1998 and his Ph.D. degree in history from the Humboldt University zu Berlin in 2009. Currently he is a Research Associate at the Max Planck Institute for the History of Science in Berlin. In the context of the Berlin Center for Machine Learning (BZML) he is at present exploring the potential of the application ML approaches in the history of science.
Marina M.-C. Höhne (née Vidovic) received the Master's degree in Technomathematics in 2012. From 2012 to 2014 she worked as a researcher at Ottobock in Vienna, Austria, on time series data and domain adaptation for controlling prosthetic devices. In 2014 she started her PhD on explainable AI and received the Dr. rer. nat. degree with summa cum laude from TU Berlin in 2017. Afterwards from 2017 to 2018 she took one year maternity leave, and continued working at the machine learning chair at TU Berlin as a postdoctoral researcher in 2018. In this time, from 2018-2020, she has been lecturing seminars and lectures in machine learning, supervised bachelor, master and PhD students and continued her studies in explainable AI and domain adaptation. In 2020 she started her own junior research group - Understandable Machine Intelligence (UMI) lab - in the area of explainable AI at TU Berlin, funded by the german federal ministry of education and research.
Furthermore, she received the best paper prize at the workshop for explainable AI for complex systems in 2016. She is a reviewer for NeurIPS and ICML and she serves as a reviewer for the german federal ministry of education and research (BMBF). In 2021 she joined the Berlin Institute for the Foundations of Learning and Data (BIFOLD) as a junior fellow.
Job Titles:
- Postdoctoral Researcher
- Researcher at the Communication
Osman Musa is a postdoctoral researcher at the Communication and Information Theory Chair (CommIT) of Technische Universität Berlin. In 2019 he received his Ph.D. at the Institute of Telecommunications, Department of Electrical Engineering of Vienna Technical University under the supervision of Prof. Norbert Goertz. At CommIT, he works on communication and signal processing problems using machine learning tolls.
RESEARCH INTERESTS
Channel Coding
Signal Processing
Machine Learning in Wireless Communication Networks
Deep Learning
Job Titles:
- External Partner
- Senior Researcher
- Senior Researcher / Fellows
Job Titles:
- Researcher
- Postdoctoral Researcher
Dr. Robert Vandermeulen is a Postdoctoral Researcher at BIFOLD. He earned his PhD in Electrical Engineering at the University of Michigan in 2016. Prior to working at BIFOLD Robert was a postdoctoral researcher at Technische Universität Kaiserslautern. His work focuses on deep anomaly detection and nonparametric statistics.
Job Titles:
- Researcher
- Senior Consultant
Varun Pandey is a Post-Doc at Database Systems and Information Management (DIMA), TU Berlin. He received his PhD from the Technical University of Munich, Germany. Prior to joining TU Munich, he was a Member of Technical Staff (MTS) at Oracle. He was part of the Distributed Lock Management team in Oracle Real Application Clusters (RAC). He obtained his masters and bachelors degree in computer science from IIT Kharagpur and College of Engineering Roorkee respectively. He has also interned with IBM and Microsoft Research Labs. His main research interest lies in geo-distributed data management, and cloud-edge query processing. Previously he has worked (and still retains interest) in (geo-)spatial query processing, multi-dimensional indexing, and applying machine learning to database internals.
Job Titles:
- Doctoral Researcher
- Research Associate at the DIMA Group of TU - Berlin
Dwi Nugroho is a research associate at the DIMA group of TU-Berlin. His research focuses on accelerating data stream processing systems using modern and heterogeneous hardware.
RESEARCH INTERESTS
Stream Processing Systems
Data Processing on Modern Hardware
Heterogeneous Hardware
Job Titles:
- Doctoral Researcher
- Research Associate in the Machine Learning / Intelligent Data Analysis Group at Technische Universität Berlin
Farnoush Rezaei Jafari is a research associate in the Machine Learning / Intelligent Data analysis group at Technische Universität Berlin. She obtained an M.Sc. in Computer Science from TU Berlin in 2021.
RESEARCH INTERESTS
Explainable AI
Efficient Machine Learning
Generative Models
Job Titles:
- Member of the Management Team
- HR & Finance
Job Titles:
- Research Group Lead / Charité / Fellow
Job Titles:
- External Partner
- Senior Data Scientist & Research IT Scholar
Job Titles:
- Member of the Management Team
- HR & Finance
Job Titles:
- Member of the Management Team
- Science Communications Officer & Social Media
Job Titles:
- Head of Communications
- Member of the Management Team
Job Titles:
- Scientific Coordinator Strategy
Job Titles:
- Member of the Management Team
- Event Management
Job Titles:
- External Partner
- Research Associate
Job Titles:
- Member of the Management Team
- Management
Job Titles:
- External Partner
- Research Associate
Job Titles:
- Member of the Management Team
- Scientific Illustrator / Graphic Designer