Su Jia

Email: sj693 at cornell dot edu
CV: Curriculum Vitae

I am an Assistant Research Professor (non-tenure-track) in the Center for Data Science for Enterprise and Society (CDSES) at Cornell University and Cornell Tech. I am broadly interested in machine learning and optimization problems motivated by real-world challenges, as well as their integration with modern AI techniques. My recent work specifically focuses on experimentation (e.g., A/B testing). In terms of application areas, I am particularly interested in revenue management and healthcare.

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

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 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