Andrew Wei is a trader with a strong quantitative foundation—Yale-trained in Computer Science, Economics, and Mathematics with a Data Science certificate—currently focused on low-latency options market making at Akuna Capital. With roughly a decade of experience combining academic research in economics and machine learning, internships at IMC and Voloridge, and hands-on commodity complex trading (natural gas and soybeans), he blends rigorous modeling with execution-aware trading strategies. He has supported ML and algorithms courses as an undergraduate learning assistant and contributed to interdisciplinary research on solar auctions, corporate debt, and medical ML, signaling an ability to move between theory and applied finance. Based in Chicago, he pairs technical depth with market intuition and a track record of building pragmatic, data-driven solutions in both research and production trading environments.
10 years of coding experience
2 years of employment as a software developer
Dual Enrollment Mathematics, Dual Enrollment Mathematics at The University of British Columbia
Bachelor's degree Mathematics; Economics and Computer Science, Bachelor's degree Mathematics; Economics and Computer Science at Yale University
Dogwood Diploma, Dogwood Diploma at St. George's School
Contributions:10 PRs, 9 pushes, 4 branches in 1 month
pair-programmingpairalgorithm-practice
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