Sheryl Hsu
Researcher at OpenAI
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolSheryl Hsu is a researcher specializing in machine learning and multi-agent reinforcement learning, currently working at OpenAI on scaling test-time compute and improving reasoning. With eight years of experience bridging academic and industry research, she concurrently develops post-training methods at Stanford SAIL to enhance LLM grounding and tool use through RL and human-feedback strategies. Her background spans applied model engineering at startups and quant shops—building fine-tuning-as-a-service at Foundry and order-book software at Hudson River Trading—alongside impactful security research that exposed dangerous Chrome extensions. Earlier work includes biologically inspired algorithms for the Steiner tree problem and public-facing exhibits and apps, showing a knack for turning complex research into usable tools and outreach. Based in San Jose, she pairs rigorous experimental methods with product-minded engineering, and often blends large-scale data analysis with creative cross-disciplinary approaches. An uncommon thread in her career is moving ideas from scientific publication to deployed systems, whether museum installations, App Store releases, or production ML tooling.
8 years of coding experience
2 years of employment as a software developer
BS / MS Computer Science, BS / MS Computer Science at Stanford University
Stackoverflow
135reputation
9kreached
4answers
4questions
Github Skills (9)
audio6
media-player6
cc6
bootstrap6
aubio6
python6
fileio6
text-processing6
java6
Programming languages (1)
Github contributions (5)
sher222/Physarum-Swarm-Steiner-Algo
Sep 2021 - Aug 2022
Contributions:29 commits, 26 pushes, 1 branch in 10 months
sher222/sher222.github.io
Jan 2022 - Nov 2024
Agency Theme for Jekyll
Contributions:23 pushes in 2 years 10 months
agency-themeagencyjekylljekyll-theme
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