Weiyang Wang
Founder at Stealth Mode
California, United States
Summary
👤
Senior🎓
Top SchoolWeiyang Wang is a quantitative finance expert and founder with 12 years of experience blending machine learning, high-performance computing and blockchain systems. Trained at University of Chicago (MSc in Statistics) and Tsinghua (BE in Fluid Mechanics), he has led research and product teams as CTO at CortexLabs.ai and VP of Product & Strategy at Sunlune, building deep-learning platforms and embedding ML into blockchain architectures. A FRM and 2017 Dorahack Fintech Marathon winner for an ABS-on-blockchain project, he has hands-on HPC and CUDA experience dating back to parallel Monte Carlo and C++/Fortran work at the University of Chicago. Based in California, he combines rigorous quantitative modeling with product-focused strategy and an entrepreneurial drive to ship complex, production-ready systems. An unusual strength is his cross-domain fluency from numerical simulation to production ML and distributed ledger design, enabling pragmatic innovation at the intersection of finance and AI.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering - BE, Fluid Mechanics, Bachelor of Engineering - BE, Fluid Mechanics at Tsinghua UniversityM.Sc, Statistics, M.Sc, Statistics at University of Chicago
Github Skills (41)
python10
machine-learning10
gpu10
java9
numpy9
datasets9
neural-network9
deep-learning9
midi9
mechanism9
computer-vision9
mutation8
julia8
singing8
gpu-acceleration8
Programming languages (3)
Github contributions (5)
catalystfrank/catalystfrank.github.io
Nov 2013 - Apr 2014
Contributions:187 commits in 4 months
deepinsight/Deformable-ConvNets
Jul 2017 - Nov 2017
Contributions:114 commits, 94 pushes in 3 months
deep-learningconvolutionalconvolutional-networks
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