Summary
Harvey Cheng is a founding engineer and research-driven software leader with nine years of experience building production-grade Bayesian optimization and sequential decision-making systems. After earning a Ph.D. in Operations Research from Princeton under Warren B. Powell, he helped productionize SigOpt’s optimization platform, which was acquired by Intel, and later led its research engineering team at Intel. He now applies that blend of academic rigor and product focus at Distributional, tackling scientific and engineering problems such as materials simulation and grid-level energy storage optimization. Comfortable moving models from research into scalable services, he combines expertise in approximate dynamic programming, stochastic optimization, and AutoML with hands-on systems design. Based in the Bay Area, he is motivated by high-impact applications of sequential optimization that accelerate real-world discovery and engineering. An uncommon strength is his track record of translating sophisticated decision-theoretic methods into maintainable, production systems used in industry.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS) Electrical Engineering, Bachelor of Science (BS) Electrical Engineering at The University of Texas at Austin
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at Princeton University
English, Chinese