Hao Yin
Quantitative Analyst
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolHao Yin is a quantitative analyst and fifth-year PhD candidate in Computational and Mathematical Engineering at Stanford, bringing a decade of experience at the intersection of machine learning, statistics, and applied mathematics. He focuses on network and causal inference methodology and their real-world applications, combining deep theoretical training with production exposure from roles at D. E. Shaw, Waymo, and Facebook. Hao’s background includes a strong mathematical foundation from Fudan University and hands-on work in perception and feeds ranking during industry internships. He is based in Palo Alto and bridges academic research with quantitative trading practice, translating complex causal models into actionable signals. Colleagues describe him as someone who naturally moves between rigorous proofs and pragmatic implementation, often spotting structural insights others miss.
10 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Mathematics and Applied Mathematics, Bachelor’s Degree, Mathematics and Applied Mathematics at Fudan UniversityDoctor of Philosophy (Ph.D.), Computational and Mathematical Engineering, Doctor of Philosophy (Ph.D.), Computational and Mathematical Engineering at Stanford University
Github Skills (5)
mining9
graph6
snap6
python6
network-analysis6
Programming languages (1)
Github contributions (5)
gxlzj/CS224nProj_src
Mar 2017 - Jun 2017
Contributions:2 PRs, 11 pushes, 1 branch in 3 months
hyin-stanford/cs231n
May 2018 - May 2018
Contributions:19 pushes, 1 branch in 20 days
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