David Reshef

David Reshef is a computer scientist, physician, and a venture partner at GV, where he focuses on investing in machine learning, life sciences, and healthcare.

David’s career has focused on using machine learning to identify and characterize structure in high-dimensional data. His work has been published in high-impact journals including Science, Proceedings of the National Academy of Sciences, The Journal of Machine Learning Research, and The Annals of Applied Statistics, and he has focused on applications across a broad range of fields including computer-aided diagnostics, disease modeling, high-throughput screens, and immunotherapy. David has also spent time working on public health initiatives in India, Zambia, and Peru.

David holds an M.D. from Harvard Medical School and a Ph.D. in computer science from MIT, where he was a Soros Fellow and a National Science Foundation Fellow. Prior to that, he studied statistics at the University of Oxford as a Marshall Scholar and computer science at MIT. His work was awarded a best thesis award from the Department of Electrical Engineering and Computer Science at MIT. David trained in internal medicine at Brigham and Women’s Hospital, which has been followed by fellowship training in hematology/oncology at Dana-Farber Cancer Institute and Mass General Brigham.