Summary
Rui Chen is an assistant professor at CUHK–Shenzhen specializing in discrete optimization, optimization under uncertainty, and their applications in data science. With eight years of experience spanning a PhD in Operations Research and postdoctoral work at Cornell Tech, he blends deep theoretical expertise with practical problem-solving. His background includes research internships at IBM T.J. Watson where he tackled MIP formulations for Bayesian network structure learning and large-scale integer programs for ML, signaling strength at the intersection of optimization and AI. He has taught advanced courses in nonlinear, stochastic, and integer optimization, demonstrating both research and pedagogical breadth. Based in Shenzhen, Rui brings an international academic trajectory—from Nanjing University to Wisconsin and Cornell—that informs collaborative, application-oriented research. A not-obvious asset is his dual MS in Computer Science alongside his PhD, enabling him to bridge algorithmic theory and computational implementation effectively.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at University of Wisconsin-Madison
Bachelor of Science - BS, MATHEMATICS AND STATISTICS, Bachelor of Science - BS, MATHEMATICS AND STATISTICS at Nanjing University