Su Jia

Email: sj693 at cornell dot edu

I am an Assistant Research Professor (non-tenure-track) in the Center for Data Science for Enterprise and Society (CDSES) at Cornell University. Broadly speaking, my academic focus is primarily centered on applied probability and discrete optimization problems inspired by real-world business scenarios. Specifically, my recent work revolves around online controlled experiments, often referred to as A/B testing. In terms of applications, I am interested in revenue mangement and healthcare.

My research has been recognized by the INFORMS Pierskalla Best Paper Award in Health Applications in 2021 and the Dantzig Dissertation Award in Operations Research and Management Science in 2022. Here is my CV.

I received my BS degree in Mathematics from Tsinghua University and MS degree from Stony Brook University where I worked with Joseph Mitchell and Jie Gao. I earned my PhD degree in Algorithms, Combinatorics and Optimization (ACO) from CMU, advised by R. Ravi and Andrew Li.

PhD Thesis. My doctoral research is primarily concentrated on online learning and optimization which studies strategies for making well-informed decisions with a stream of data. Here is a 25-page condensed version of my thesis:
Learning and Earning Under Noise and Uncertainty.
Committee: R. Ravi (Chair), Andrew A. Li, Alan Scheller-Wolf and Sridhar Tayur.

Publications and Preprints

"*" means alphabetical order