Raul Astudillo wants to help machines and people make better decisions. Toward that end, he studies Bayesian methods for efficient sequential decision-making for problems where there is a nested... Read more about Making Bayesian optimization algorithms more efficient
Sean Sinclair, a Ph.D. student in Cornell Engineering’s School of Operations Research and Information Engineering (ORIE), sees the entire world as a mix of probability and optimization problems.... Read more about Math with a purpose—using probability and statistics for the greater good
Name: Lijun Ding Hometown: Hangzhou, Zhejiang, China Degree(s) pursuing / earned: Ph.D. in Operations Research Concentration: Mathematical Programming, and Applied Probability & Statistics What... Read more about ORIE Ph.D. Spotlight - Lijun Ding
