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Wen Yun

PhD Candidate
Decision, Risk, and Operations Division
Columbia Business School
wen[dot]yun[at]gsb[dot]columbia[dot]edu

📄 CV |

About Me

I am a PhD Candidate in Decision, Risk, and Operations Division of the Graduate Business School at Columbia University, where I am fortunate to be advised by Assaf Zeevi. Prior to my PhD, I completed my undergraduate degree in Economics at Tsinghua University.

My research studies problems in revenue management and related operational settings where customer behavior is complex or where human–algorithm interaction shapes decisions. In addressing these challenges, I (i) develop optimal policies that provide managerial insights, (ii) design online learning algorithms for decision making under uncertainty, (iii) conduct empirical analysis of real-world data, and (iv) build decision-support systems that are both efficient and implementable in practice.


Research

Working Papers

Modeling and Empirical Considerations in B2B Pricing
with Assaf Zeevi, Gal Lex
A pricing decision-support system featuring a near-optimal suggestion structure that accounts for partial compliance in human-in-the-loop settings, and an empirical analysis based on real transaction data.

Recommendation Policies in the Presence of Social Learning
with Assaf Zeevi
A product recommendation framework under review-driven customer behavior, featuring an asymptotically optimal policy and showing that different customer types are best targeted at different stages of the selling horizon.

Dynamic Pricing with Unknown Extent of Social Learning
with Assaf Zeevi
A dynamic pricing framework with history-dependent demand influenced by prices and prior reviews, addressing the challenge of unknown demand through minimax-optimal online algorithms that significantly outperform predict-then-optimize methods.

Work in Progress

Learning under Indirect Price Control and Unobserved Confounding
with Assaf Zeevi


Teaching

Teaching Assistant, Columbia Business School

  • Managerial Statistics (MBA/EMBA core), Fall 2021, Spring 2022, Fall 2022, Fall 2023, Summer 2025
  • Foundations of Stochastic Modeling (PhD core), Spring 2023
  • Supply Chain Analytics (Master’s), Spring 2022
  • Analysis of Algorithms in Opeartions Research (PhD elective), Spring 2025