Zhengchao Wang
Imperical College Business School
Email:
Links: CV | College Webpage | LinkedIn | Google Scholar


I am a PhD candidate at Imperial College Business School, where I am fortunate to be advised by Professor Wolfram Wiesemann and Professor Heikki Peura.

My research interests are in data-driven decision-making using optimization and statistical learning, with applications in revenue management and social goods.

I am on the 2024-2025 academic job market

Publications

Working Paper

  • From Data to Donations: Optimal Fundraising Campaigns for Non-Profit Organizations
    with Heikki Peura, Sven Mikolon, and Wolfram Wiesemann                              (Job market paper)

  • Robust Adaptive Experiment Design over Finite Horizons
    with Daniel Kuhn, Heikki Peura, and Wolfram Wiesemann

  • Regret-Minimizing Assortment Optimization
    with Zhi Chen and Yi-Chun Akchen

Earlier work from my previous studies can be found here.

Teaching

  • Data Structures and Algorithms
    Financial Technology, Risk Management and Financial Engineering, and Business Analytics programs
    Fall 2020, 2021, 2022, 2023

  • Optimization and Decision Models
    Business Analytics program
    Spring 2022, 2023, 2024

  • Business Analytics Electives
    Management and MBA suite programs
    Summer 2021, 2022, 2024

  • Optimization and Simulation
    PhD
    Spring 2019

  • Introduction to Optimization and Operations Research
    Bachelor
    Fall 2017, 2018

Coming talks

  • From Data to Donations: Optimal Fundraising Campaigns for Non-Profit Organizations
    • European TOM Virtual Seminar, 1:00 PM to 2:00 PM, CEST, Monday, October 14
    • INFORMS, Seattle, WA, 4:00 PM – 5:15 PM, Tuesday, October 22