Nathan Hunt
Machine Learning Research Engineer at Scale AI
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolNathan Hunt is a Machine Learning Research Engineer based in Cambridge, MA with a decade of experience bridging academic research and industry application. He completed extensive research at MIT CSAIL—spanning clinical decision-making with ICU data to broader ML systems—and now applies that expertise at Scale AI building digital and physical agent capabilities. His background includes quantitative research at Two Sigma and multiple research internships at IBM and Broad Institute, reflecting strength in both probabilistic modeling and production-oriented engineering. Nathan holds BS, MS, and PhD-level training in computer science (with molecular biology at the undergraduate level) from MIT, a combination that informs his interdisciplinary approach to problem solving. Notably, he has repeatedly translated cutting-edge research into real-world projects, from patient acuity prediction to scalable ML infrastructure.
10 years of coding experience
8 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Massachusetts Institute of Technology
English, German
Stackoverflow
9,979reputation
1.8mreached
108answers
30questions
opencv
top-5%
pandas
top-1%
anaconda
top-5%
python
top-1%
csv
top-1%
oop
top-5%
Github Skills (200)
atom-editor10
python10
windows10
console-log10
telegram10
deep-learning10
gpu10
meter10
pretrain10
pandas10
editor10
progress-bar10
nvidia-smi10
ai10
csv10
Programming languages (12)
Github contributions (5)
neighthan/rlpyt
Jul 2019 - Feb 2023
Reinforcement Learning in PyTorch
Contributions:20 pushes, 16 branches in 3 years 8 months
pytorchreinforcement-learningreinforcementdeep-reinforcement-learning
neighthan/gpu-utils
Sep 2018 - Jul 2021
Utility functions/scripts for working with GPUs.
Contributions:1 release, 33 commits, 1 PR in 2 years 10 months
gpuutility-functionsinfinibandgpus
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