About me

I am a final-year PhD candidate in the Department of Information, Risk, and Operations Manangement at the McCombs School of Business at the University of Texas at Austin, advised by Prof. Stathis Tompaidis and Prof. Junyu Cao. I am also fortunate to work with Prof. Kumar Muthuraman, Prof. Wei Qi, and Prof. Daniel Mitchell. I worked as a machine learning intern at Meta Platforms, Inc. during the summers of 2022 and 2023. Previously, I received my master’s degree at University of Minnesota and bachelor’s degree at Fudan University in Shanghai, China.

Publications and Manuscripts

  1. Robust Financial Networks [pdf]
    Feihong Hu*, Daniel Mitchell*, Stathis Tompaidis*
    Operations Research, Volume 72, Issue 5, 2024.
  2. “Uber” Your Cooking: The Sharing-Economy Operations of a Ghost-Kitchen Platform [pdf]
    Junyu Cao*, Feihong Hu*, Wei Qi*
    To be resubmitted to Management Science.
  3. Impact of Automated Vehicles on Traffic Assignment, Mode Split, and Parking Behavior [pdf]
    Di Kang, Feihong Hu, Michael Levin
    Transportation Research Part D: Transport and Environment, Volume 104, 103200, 2022.

*Authors in alphabetical order.

Work in Progress

  1. Novel Neural Network Architectures for Asset Pricing: Bridging Theory and Interpretability
    with Daniel Mitchell and Kumar Muthuraman
    In preparation.
  2. Fresh on the Go: Combatting Food Deserts with Mobile Markets
    with Junyu Cao
  3. Unsupervised Regression Plane Discovery Using Machine Learning: An Application to King County House Sale Data
    with Deepayan Chakrabarti, Daniel Mitchell, and Kumar Muthuraman

Work Experience

Meta Platforms, Inc.
PhD Machine Learning Intern, Ads Core Machine Learning Group, Summer 2023
PhD Machine Learning Intern, Ads Core Machine Learning Group, Summer 2022

Teaching

Instructor, McCombs School of Business, UT Austin
DS 235 Introduction to Decision Science, Summer 2024
Undergraduate core course for the BBA program
Student evaluation: 5.0/5.0

Teaching Assistant, McCombs School of Business, UT Austin
BA 287 Business Analytics and Decision Modeling (MBA core course), Spring & Fall 2021, Fall 2022, Spring 2023
BAX 358 Optimization Methods and Decision Making, Spring 2023
DS 235 Introduction to Decision Science, Fall 2020, Spring 2022

Awards

University Graduate Continuing Fellowship, UT Austin, 2024
Prestigious fellowship with an additional tuition waiver: awarded for research excellence.
Graduate School Professional Development Award, UT Austin, 2023
McCombs Dean’s Fellowship, UT Austin, 2021 - 2023
Graduate School Provost Fellowship, UT Austin, 2020
Graduate School Recruitment Fellowship, UT Austin, 2020