Hao He
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHao He is a quantitative researcher and MIT PhD candidate in computer science with a decade of experience applying deep learning, Bayesian modeling, and optimization to problems in systems, wireless sensing, dynamics, and healthcare. He blends applied machine learning with a strong grounding in theory, having worked on sparse Bayesian learning at Microsoft Research Asia and now conducting alpha research at Citadel Securities. A Peking University honors graduate, he has moved fluidly between academic research and industry internships, translating complex models into practical, high-stakes applications. Hao’s work reflects both algorithmic rigor and system design awareness—an uncommon mix that helps bridge prototype ideas and production trading signals. Based in New York, he brings cross-disciplinary fluency and a track record of delivering research-driven solutions in real-world environments.
10 years of coding experience
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of TechnologyBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Peking University
Github Skills (72)
cudnn8
attention-mechanism7
mxnet7
portable7
self-attention7
cupy7
python7
julia7
arxiv7
cuda7
mutation7
numpy-arrays7
golang6
deep-learning6
gpu6
Programming languages (3)
Github contributions (5)
hehaodele/circuit-gnn
Jun 2019 - Sep 2020
Contributions:8 commits, 7 pushes, 3 comments in 1 year 3 months
hehaodele/ProbGAN
Feb 2019 - Jan 2020
Contributions:14 commits, 1 push, 3 comments in 11 months
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