I recently graduated from the Decision, Risk, and Operations Division of the Graduate School of Business at Columbia University. I was advised by Professor Yash Kanoria.
I am broadly interested in data-driven online decision-making problems, especially on networked platforms and marketplaces.
I have spent two summers at Amazon as Research Scientist, working on supply chain and revenue management problems and causal inference problems for labor planning. I am currently working as a Quantitative Research at Two Sigma.
You can reach me at: judy.email.2016 at gmail dot com. Happy to chat about potential research projects in the related area.
Selected Research:
Learning the Value of Personalization for Amazon Flex Driving Partners Amazon Machine Learning Conference Workshop, 2022
with Salomon Wollenstein-Betech, Kostas Bimpikis, Michael Wagner
Decentralized Online Convex Optimization in Networked Systems International Conference on Machine Learning, 2022
with Yiheng Lin, Guanan Qu, Yash Kanoria, Adam Wierman
Near-optimal Decentralized Algorithms for Network Dynamic Optimization NeurIPS OPT Workshop, 2022
with Yash Kanoria, Xuan Zhang
Dynamic Match-making on Gaming Platforms work-in-progress
with Yash Kanoria, Will Ma