Alexander Yang is a data scientist with 12 years of experience applying machine learning and computational modeling across finance, e-commerce, and drug discovery. He builds production forecasting and time-series pipelines at Stripe and previously developed large-scale ML systems for product eligibility at Amazon and therapeutic modeling at Merck. Trained as a PhD chemical engineer, he combines physics-based simulation expertise and open-source contributions to molecular modeling with practical ML productization in the cloud. Comfortable translating domain knowledge into deployed models, he excels at collaboration with stakeholders and subject-matter experts to solve ambiguous problems. An unusual strength is his ability to bridge coarse-grained molecular simulation methods and modern data-science tooling, enabling cross-disciplinary solutions from molecule to market.
12 years of coding experience
10 years of employment as a software developer
High School, High School at Thomas Jefferson High School for Science and Technology
Doctor of Philosophy (Ph.D.), Chemical and Biomolecular Engineering, Doctor of Philosophy (Ph.D.), Chemical and Biomolecular Engineering at Vanderbilt University
Bachelor’s Degree, Chemical Engineering, Economics (double major), Computer Science (minor), Bachelor’s Degree, Chemical Engineering, Economics (double major), Computer Science (minor) at University of Virginia
Contributions:4 PRs, 69 pushes, 6 branches in 2 years 1 month
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