Yuexing Li

Assistant Professor
Johns Hopkins Carey Business School

Welcome to my website! I am an Assistant Professor of Operations Management and Business Analytics at Johns Hopkins Carey Business School. I obtained my Ph. D. degree in Business Administration in the field of Operations Management at the Fuqua School of Business, Duke University. 

Before joining Duke, I obtained a master's degree from Cornell University, a master's degree from Yale University, and two bachelor's degrees from Peking University in Beijing, China.

  • Asset 6_3x
  • Asset 5_3x
IMG_7039 copy.jpg

Interests

Asset 1_3x-8.png

Data-Driven
Decision Making

Asset 4_3x-8.png

Statistical/Machine
Learning

Asset 2_3x-8.png

Revenue
Management

Asset 3_3x-8.png

Dynamic

Pricing

Asset 5_3x-8.png

Inventory

Control

I am broadly interested in designing and analyzing data-driven algorithms to facilitate decision making under uncertainty. 

 

I leverage and develop many statistical/machine learning methods, including deep learning, and combine them with dynamic pricing, inventory control, and optimization to solve complex operational problems in the big data era. My work advances the theoretical foundation of various data-driven analytics and significantly improves the performance in real applications across multiple industries, including grocery retailing, energy, and digital platforms. 

Education

Ph.D. in Business Administration

Duke University

M.Eng. in Operations Research

Cornell University

M.S. in Biomedical Engineering

Yale University

B.S. in Chemistry

B.A. in Economics

Peking University

Publications

5-5-02.png
Asset 9_3x-8.png

with P.L. Jackson & J.A. Muckstadt (2019), Management Science, 65(2):794-818

Asset 9_3x-8.png

with N.B. Keskin & J.-S. Song (2020), Management Science, forthcoming

- Special Issue on Data-driven Prescriptive Analytics

Screen Shot 2021-10-01 at 1.17.31 AM.png

Photograph Courtesy of Solume

Asset 9_3x-8.png

with N.B. Keskin & N. Sunar, under revision at Operations Research

- Winner, INFORMS Data Mining Best Paper Competition, 2020

- Spotlight Track, INFORMS 2021 RM&P Conference

- Job Market Paper

Electricity-Pricing.jpeg
3d-rendering-artificial-intelligence-hardware (1).jpg

Deep Learning for Visual Advertising on Digital Platforms:
Asymptotically Optimal Image Selection

with N.B. Keskin, S. Liu, & J.-S. Song, to be submitted soon

with Y. Deng & J.-S. Song, manuscript in preparation

A Unified Parsimonious Model for Structural Demand Estimation
Accounting for Stockout and Substitution

05.png