Wanqi Zhu is a Research Scientist and former quantitative researcher with a decade of experience building ML and data-driven systems at the intersection of research and product, currently working on machine learning at Cursor after four years at Jane Street. A Stanford alum with deep roots in computer science and algorithms, Wanqi combines rigorous quantitative chops with practical engineering—from building recommendation systems at Aura Health to leading a startup as CTO and shipping production-focused tooling at Improbable. He’s driven by a philosophy of lifelong learning and social impact, seeking intuitive understanding and ways technology can steer society toward more thoughtful decisions. Notably, Wanqi’s background spans academic research on bibliometrics and author disambiguation to hands-on economic experiments at Lyft, reflecting a rare blend of theory, applied research, and entrepreneurial grit.
10 years of coding experience
6 years of employment as a software developer
Computer Science, Computer Science at University of Chicago
Contributions:12 commits, 9 pushes, 1 branch in 17 days
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