Jeremy Wohlwend is a PhD candidate in Machine Learning at MIT CSAIL with a decade of experience applying ML and NLP research across industry and academia. He spent several years as a machine learning/NLP researcher at ASAPP, where he blended applied engineering with empirical research before returning to MIT for doctoral work. He holds a BS and an MEng in Mathematics and Computer Science from MIT, giving him a rigorous theoretical foundation alongside practical skills. Known for bridging mathematical rigor with product-minded experimentation, he focuses on turning research ideas into robust, real-world ML systems.
Official repository for the Boltz-1 biomolecular interaction model
Contributions:9 releases, 12 PRs, 59 pushes in 3 months
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