Jeremy Wohlwend

PhD Candidate

Cambridge, Massachusetts, United States
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Summary

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Rockstar
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.
code11 years of coding experience
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Github Skills (57)

python10
acceleration10
machine-learning10
recurrent-neural-networks10
numpy10
deep-learning10
gpu10
neural-networks10
neural-network10
gpu-acceleration10
arxiv10
lifecycle9
artificial-intelligence9
gru9
lightning9

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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jwohlwend/CNNEncrypt

Nov 2016 - Dec 2016

Contributions:33 commits, 33 pushes, 1 branch in 22 days
jwohlwend/boltz

Nov 2024 - Mar 2025

Official repository for the Boltz-1 biomolecular interaction model
Contributions:9 releases, 12 PRs, 59 pushes in 3 months
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