Eric Qu
Research Intern at University of California, Berkeley
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolEric Qu is a second-year Computer Science PhD student at UC Berkeley (BAIR) and a research intern at NVIDIA with a focused trajectory in Geometric Deep Learning and AI for Science. He combines rigorous academic training—from a dual BS in Data Science at Duke/Duke Kunshan—to hands-on research stints at Meta FAIR and Microsoft Research Asia, applying mathematical principles to scale ML models for complex scientific problems. Advised by leaders like Aditi Krishnapriyan and collaborating with industry groups at FAIR and NVIDIA, he bridges foundational research with practical chemistry and physics-informed ML projects. With nine years of research experience and active roles across top labs, he brings both deep theoretical insight and experience deploying research within interdisciplinary scientific teams. An under-the-radar strength is his knack for translating mathematical ideas into scalable model architectures suited to real-world scientific datasets.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyBachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at Duke UniversityBachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at Duke Kunshan University
Github Skills (20)
materials-informatics10
chemistry10
python9
machine-learning9
computational-chemistry9
deep-learning9
tensorflow8
data-science7
neural-network7
convex-hull7
sequential6
opencore6
hackintosh5
deep-neural-networks5
ml5
Programming languages (4)
Github contributions (5)
EricZQu/Quantifying-Nanoparticle-Assembly-States-Through-Deep-Learning
Oct 2020 - May 2022
Contributions:11 commits, 11 pushes, 6 comments in 1 year 7 months
EricQu2001/EricQu2001.github.io
Feb 2022 - Feb 2024
Contributions:43 pushes in 2 years
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