Summary
Chenyang Shi is a manager of AI and data with a PhD in Condensed Matter and Materials Physics from Columbia and an MS in Computer Science (ML) from Georgia Tech, bringing nine years of industry experience and over 14 years of Python programming. He leads global cross-functional teams to deliver full-stack products, forecasting solutions and ML-driven analytics in life sciences, and has a strong track record translating research-grade methods into production web applications on AWS. As a prolific researcher and developer, he is lead author of two peer-reviewed scientific software packages (over 7,500 lines of Python) and coauthor of ~30 papers with 2,800+ citations, bridging synchrotron X-ray materials science and pharmaceutical R&D. At AbbVie he applied generative and predictive models to drug discovery and built practical tools for crystallization, dissolution and absorption prediction, demonstrating both domain depth and product focus. Multilingual (native Chinese, fluent English, JLPT N1 Japanese, TestDaF German), he combines academic rigor with product thinking to solve complex forecasting and R&D problems at scale.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering - BE Materials Sciences and Engineering, Bachelor of Engineering - BE Materials Sciences and Engineering at Tongji University
Master of Science - MS Computer Science , Master of Science - MS Computer Science at Georgia Institute of Technology
Doctor of Philosophy (PhD) Condensed Matter and Materials Physics, Doctor of Philosophy (PhD) Condensed Matter and Materials Physics at Columbia University
German, Japanese, Chinese, English