Summary
Chong Sun is a Senior Machine Learning Scientist in Seattle with a PhD in Computational Mathematics and eight years of experience building production ML systems across supply chain, NLP, and policy analytics. He led multi-disciplinary teams at Amazon to deliver high-impact projects—one PO-rejection model produced $350M in US savings—and now applies ML to Chewy’s supply chain. Comfortable with messy, terabyte-scale data, Chong programs end-to-end pipelines using Spark, Redshift, AWS, and Python, and has published novel calibration methods for tree-based and deep models. His background blends rigorous numerical PDE research and Bayesian methods with practical A/B testing and marketing certification, a combination that helps him translate complex models into measurable business outcomes. He also brings financial analytics experience (CFA Level I passed) and a track record of mentoring junior scientists and securing NSF funding for interdisciplinary research.
8 years of coding experience
10 years of employment as a software developer
Master's degree, Business and Finance, 3.9/4.0, Master's degree, Business and Finance, 3.9/4.0 at Baylor University
Bachelor of Arts (B.A.), Japanese Language, 3.60/4.00, Bachelor of Arts (B.A.), Japanese Language, 3.60/4.00 at 国际关系学院
Korean, Japanese, Chinese, English