Su Jia

Su Jia

Research Assistant Professor
Center for Data Science for Enterprise and Society
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Biography

I am an Assistant Research Professor in the Center for Data Science for Enterprise and Society (CDSES) at Cornell University from 2022. I received my BS degree in Mathematics from Tsinghua University in 2014 and MS degree from Stony Brook University in 2017. I earned my PhD degree in Algorithms, Combinatorics and Optimization (ACO) from Carnegie Mellon University in 2022.

Research Interests

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.

Selected Publications

  •      Su Jia, Nishant Oli, Paul Duff, Ian Anderson Andrew Li and R. Ravi. “Short-Lived High-Volume Multi-(A)rmed /(B)andit Testing.” International Conference in Machine Learning 2023
  •       Su Jia, Qian Xie, Nathan Kallus and Peter Frazier. “Smooth Non-stationary Bandits”.International Conference in Machine Learning 2023
  •       Su Jia, Andrew Li and R. Ravi. “Markdown Pricing Under Unknown Parametric Demand Model.” Advances in Neural Information Processing Systems 2022
  •       Kyra Gan, Su Jia, Andrew Li and Sridhar Tayur. “Toward a Liquid Biopsy: Greedy Approximation Algorithms for Active Sequential Hypothesis Testing.” INFORMS Pierskalla Best Paper Award. Advances in Neural Information Processing Systems 2022
  •       Su Jia, Jeremy Karp, R. Ravi and Sridhar Tayur. “Effective Online Order Acceptance Policies For Omni-Channel Fulfillment.”Manufacturing and Service Operations Management (MSOM), 2021
  •       Su Jia, Xin Jin, Golnaz Ghasemiesfeh, Jiaxin Ding and Jie Gao. “Competitive Analysis for Online Scheduling in Software-Defined Optical WAN.” IEEE International Conference on Computer Communications 2017 (INFOCOM’17)

Selected Awards and Honors

  • George B. Dantzig Dissertation Award in Operations Research and Management Science
  • Gerald L. Thompson Doctoral Dissertation Award in Management Science (CMU)
  • INFORMS Pierskalla Best Paper Award in Health Applications
  • Egon Balas Award for Best Operations Research Student Paper (CMU)
  • William Larimer Mellon PhD Fellowship (CMU)

Education

Ph.D. Algorithms, Combinatorics and Optimization (ACO), Carnegie Mellon University, 2022

M.S. Applied mathematics and statistics, Stony Brook University, 2017

B.S. Mathematics, Tsinghua University, 2014

Websites