yuexing li portrait

Yuexing Li, PhD

Assistant Professor
Academic AreaOperations Management & Business Analytics
Academic AreaMarketing

Yuexing Li joined the Carey Business School in Fall 2022. His research centers around the design and analysis of data-driven algorithms for dynamic decision making under uncertainty. By leveraging and developing various statistical learning and machine learning methods, his works advance the theoretical understanding of cutting-edge data-driven analytics and create real impact across multiple industries. His works have won the INFORMS Service Science Best Paper Competition and the INFORMS Data Mining Best Paper Competition, and have been selected to present on the Spotlight track at the INFORMS RM&P Conference.

Education

  • PhD, Operations Management, Duke University
  • MS, Operations Research, Cornell University
  • MS, Biomedical Engineering, Yale University
  • BA, Economics, Peking University
  • BS, Chemistry, Peking University

Research

Selected publications

Working papers

  • "Data-driven Clustering and Feature-based Retail Electricity Pricing with Smart Meters" with N.B. Keskin & N. Sunar
  • "Deep Learning for Visual Advertising on Digital Platforms: Asymptotically Optimal Image Selection"  with N.B. Keskin, S. Liu, & J.-S. Song
  • "A Unified Parsimonious Model for Structural Demand Estimation Accounting for Stockout and Substitution" with Y. Deng & J.-S. Song

Teaching

Current

  • Business Analytics

Honors and distinctions

  • JHU Alumni Association Excellence in Teaching Award, 2024.
  • JHU Carey Faculty Excellence Award, 2023.
  • Winner, INFORMS Service Science Best Paper Competition, 2022.
  • Winner, INFORMS Data Mining Best Paper Competition, 2020.