Weipeng He
Machine Learning Engineer at Jane Street
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolWeipeng He is a machine learning engineer with 12 years of experience bridging cutting-edge research and production systems, currently working at Jane Street after senior research roles at Meta. He holds a PhD from EPFL and advanced degrees from Tsinghua and the University of Hamburg, combining deep theoretical foundations in EE and math with practical ML engineering. His career spans postdoctoral research at Idiap and internships at Facebook and Hulu, reflecting a trajectory from academic innovation to industry-scale ML. Known for translating research prototypes into robust systems, he has navigated both low-latency, high-stakes finance settings and large-scale research organizations. A subtle strength is his cross-disciplinary fluency—academic rigor plus hands-on software engineering—that helps him tackle complex, real-world ML problems end-to-end.
13 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of HamburgBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Tsinghua UniversityDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at EPFL (École polytechnique fédérale de Lausanne)
Chinese, English, German, French
Github Skills (22)
pytorch10
artificial-intelligence10
python10
ai10
sequence-to-sequence10
rmarkdown8
localization8
rstudio8
hugo-theme8
r8
netlify8
page-builder7
jupyter7
hugo7
website-template7
Programming languages (5)
Github contributions (5)
hwp/interactiveOR
Aug 2013 - Nov 2015
Contributions:122 commits, 49 pushes in 2 years 3 months
idiap/nnsslm
May 2019 - Oct 2022
Neural Network based Sound Source Localization Models
Contributions:3 commits, 11 pushes, 1 comment in 3 years 5 months
localizationneural-network
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