Alan Chen is a quantitative researcher at DRW with 11 years of experience bridging applied mathematics, machine learning, and software engineering. A Brown alumnus with dual training (MS Applied Mathematics, BS Computer Science), he has worked on mechanistic interpretability, geometric theory of overparameterization, and FICC options research, plus industry projects in personalization, generative avatar modeling, and geoscience ML. He combines rigorous theoretical work (LUNAR Lab, deep learning geometry) with hands-on production experience from internships at Roblox, Intel, and NASA, and is driven by continual improvement—hence his GitHub motto “Keep Climbing.” Based in Chicago, he’s equally likely to be found swimming, cooking, or mentoring ML research, and brings a subtle interdisciplinary bent from applying tools like log-signatures and localization landscape methods to real-world problems.
11 years of coding experience
2 years of employment as a software developer
MS Applied Mathematics, BS Computer Science, MS Applied Mathematics, BS Computer Science at Brown University
Contributions:12 pushes, 1 branch in 3 years 4 months
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