Dr. Collin M. Stultz is a Professor of Electrical Engineering and Computer Science at the
Massachusetts Institute of Technology (MIT), a faculty member in the Harvard-MIT Division of
Health Sciences and Technology, a Professor in the Institute of Medical Engineering and
Sciences at MIT, a member of the Research Laboratory of Electronics (RLE), and an associate
member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). He is also a
practicing cardiologist at the Massachusetts General Hospital (MGH). Dr. Stultz received his
undergraduate degree in Mathematics and Philosophy from Harvard University; a PhD in
Biophysics from Harvard University; and a MD from Harvard Medical School. He did his
internship, residency, and fellowship at the Brigham and Women’s Hospital in Boston. His
scientific contributions have spanned multiple fields including computational chemistry,
biophysics, and machine learning for cardiovascular risk stratification. He is a member of the
American Society for Biochemistry and Molecular Biology and the Federation of American
Societies for Experimental Biology and he is a past recipient of a National Science Foundation
CAREER Award and a Burroughs Wellcome Fund Career Award in the Biomedical Sciences. Currently research in his group is focused on the development of machine
learning tools that can guide clinical decision making.

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Erik is a postdoctoral research fellow at MIT and the Massachusetts General Hospital. He builds machine learning algorithms to read ECGs, predict cardiovascular emergencies from physiological time series data, and phenotype shock. Previously Erik interned on the investment team at at Takeda Ventures and co-founded a non-profit to help startups launch pilots at academic medical centers. He holds an MD from Emory University, a PhD in biomedical engineering from Georgia Tech, and a BS in bioengineering from UCLA.

http://erikreinertsen.com

Wangzhi Dai is a graduate student in the Department of Electrical Engineering and Computer Science. He is primarily interested in developing computational tools to help clinical decision making. Currently he is working on risk stratification of patients with acute coronary syndrome using a machine learning approach. Before coming to MIT, He earned his Bachelor’s at Peking University in 2017.

Paul Myers

Paul Myers is a graduate student in the Department of Electrical Engineering and Computer Science. He is currently developing new computational biomarkers for use in statistical models to identify patients at a high risk of cardiovascular death.

Katherine Young is a graduate student in the Department of Electrical Engineering and Computer Science at MIT. Currently she is working with physician-scientists to develop optimal treatment regimens for patients with congestive heart failure using reinforcement learning. She received her B.S. in Computer Science and Music from MIT in 2018, and in her free time enjoys playing the violin and running long distances.

Daphne is working towards her PhD in the Medical Engineering and Medical Physics program at HST, with a focus in Computer Science. She is interested in developing interpretable clinical decision support models for applications in cardiovascular disease. Before starting at MIT, she received a BS in Biomedical Engineering and in Physics from Johns Hopkins University.

Aniruddh is a PhD student in the Department of Electrical Engineering and Computer Science, co-advised by Prof. Collin Stultz and Prof. John Guttag. He is interested in applications of machine learning to healthcare problems, including causal inference in medicine and developing tools for clinical risk stratification. Before coming to MIT, Aniruddh completed his Bachelor’s and Masters degrees at the University of Cambridge in 2018.

Angela Zhang is an undergraduate majoring in Computer Science and Mathematics.

Cara Berg is an aspiring medical student working as a Clinical Research Coordinator in her gap years. She is currently coordinating multiple trials investigating Hypertrophic Cardiomyopathy. These trials are principally investigated by Dr. Stultz of MIT, Dr. Fifer of MGH, and Dr. Tower-Rader of MGH.

megumima@mit.edu

Megumi is the administrative assistant for Prof. Collin Stultz. She provides administrative support to Prof. Collin Stultz and his students.

Alicia Rodriguez

Alicia is a graduate student towards a Master of Science in Engineering and Management at the Integrated Design Management program at the Massachusetts Institute of Technology (MIT). She worked for 6 years in the semiconductor industry at Hewlett Packard Networking and Teradyne Inc. Currently, her work is gender-focused, oriented towards uncovering gaps with data to identify and improved care of cardiovascular diseases patients at high risk.

Kristy A Carpenter

Kristy Carpenter is an undergraduate majoring in Computer Science and Molecular Biology. She is developing machine learning methods to identify non-hemolytic peptides that have antimicrobial properties.  Her research interests include machine learning, molecular dynamics simulations, and drug discovery.