Wendy Shang
AI Scientist at Mistral AI
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolWendy Shang is an AI scientist with 11 years of experience bridging cutting-edge research and product-focused engineering across top labs and startups. She holds a PhD in Computer Science from the University of Amsterdam and has contributed to high-impact projects at DeepMind (including work on theorem-solving and MuZero applications), followed by applied roles at Character.AI and now Mistral AI focused on reasoning. Her background spans vision, video compression, and reinforcement learning, with internships at Google, NVIDIA, Salesforce, and a visiting stint at UC Berkeley that underline a deep, collaborative research pedigree. Based in New York, she combines rigorous academic training with practical engineering instincts to translate advanced models into deployable systems. An underrated strength is her track record of moving between foundational research and real-world productization, making her effective at both prototyping and scaling intelligent systems.
11 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 AmsterdamBS Math Physics-Engineering, BS Math Physics-Engineering at Washington and Lee University
English, Chinese, Japanese
Github Skills (53)
python10
machine-learning10
gpu10
gpt10
numpy9
llm9
large-language-models9
neural-network9
deep-learning9
ray8
cuda8
optimization8
gpu-acceleration8
autograd8
reinforcement-learning8
Programming languages (5)
Github contributions (5)
WendyShang/crVAE
Jan 2018 - Jan 2018
Contributions:9 commits in 7 days
WendyShang/flare
Jan 2021 - Mar 2021
Contributions:8 commits, 5 pushes, 2 branches in 2 months
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