Benjamin Cohen-Wang
Summary
👤
SeniorBen Cohen-wang is a software engineer and ML researcher focused on deploying robust machine learning systems under distribution shifts. He is a PhD candidate in EECS at MIT (2022–present) advised by Aleksander Mądry, building on a Stanford BS/MS in computer science. He previously honed ML engineering at Robust Intelligence (2020–2022) and brings industry experience from a Facebook software engineering internship and leadership roles at Stanford CS. He currently serves as a Member of Technical Staff at Anthropic, starting in 2025, focusing on applying large-scale pre-training (e.g., CLIP, GPT) to develop robust task-specific models. Based in Palo Alto, he balances rigorous research with climbing, skiing, tennis, and volleyball.
12 years of coding experience
Github Skills (11)
camp6
huggingface5
pytorch5
jekyll4
robotics3
datasets2
llm2
machine-learning2
benchmark1
shift1
temporal1
Programming languages (3)
Github contributions (5)
bencw99/bencw99.github.io
Aug 2019 - Mar 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:25 pushes in 5 years 8 months
templategithub-pages-templatemmistakesmistakesjekyll
bencw99/BoardGame-AI
Sep 2014 - Dec 2016
Contributions:287 commits, 59 pushes in 2 years 4 months
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