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I’m an ex-founder, ML researcher, and engineer, who enjoys building ML products from 0-1 and beyond. Previously, I’ve worked in early-stage startups to scale-ups across biotech, climate, autonomous driving, physics simulation to name some.
I’m passionate about affordable and accessible healthcare, pragmatically using AI, and tackling hard problems.
In my spare time, you might find me chasing the sun, strong coffee, scenic peaks, or trying to keep up with Letterboxd rushes.
I occasionally write on Substack.
Paul Scherer, Thomas Gaudelet, Alison Pouplin, Suraj M S, Jyothish Soman, Lindsay Edwards, Jake P. Taylor-King, PyRelationAL: A Library for Active Learning Research and Development, arXiv pre-print, arXiv:2205.11117
Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martinez-Pena, Eileen L. Tang, Suraj M S, Cristian Regep, Jeremy Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King, Yoshua Bengio, RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro, arXiv pre-print, arXiv:2202.04202
Suraj M S, Hugo Grimmett, Lukáš Platinský and Peter Ondrúška, Visual vehicle tracking through noise and occlusions using crowd-sourced maps, Spotlight talk, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), October, 1- 5, 2018 Madrid, Spain
Suraj M S, Hugo Grimmett, Lukáš Platinský and Peter Ondrúška, Predicting trajectories of vehicles using large-scale motion priors, Oral presentation, 2018 IEEE Intelligent Vehicles Symposium (IV) Changshu, Suzhou, China, June 26-30, 2018