Research Interests:

Topics: Online Marketplaces, Human--AI Collaboration, Innovation, Revenue Management

Methodologies: Structural Modeling, Causal Inference, Game Theory, Machine Learning

Published Papers:

1. "The Role of Problem Specification in Crowdsourcing Contests for Design Problems: A Theoretical and Empirical Analysis." [link] With Yan Huang and Damian R.Beil.  Manufacturing & Service Operations Management (2021).

2. "The Role of Feedback in Dynamic Crowdsourcing Contests: A Structural Empirical Analysis." [link] With Yan Huang and Damian R.Beil. Management Science (2022).

   • IBM Service Science Best Student Paper 2019, Finalist

3. "A High-Dimensional Choice Model for Online Retailing." [link] With Jun Li and Dennis Zhang. Management Science (2024). 

4. "Can Employees' Past Helping Behavior be Used to Improve Shift Scheduling? Evidence from ICU Nurses." [link] With John Silberholz, Yixin (Iris) Wang, Deena Costa and Michael Sjoding.  Management Science (2025).  

   • POMS Healthcare Best Paper Competition 2022, Third Place

   • INFORMS Behavioral Operations Management Section Best Working Paper 2022, Finalist

5. "Instrumenting While Experimenting: An Empirical Method for Competitive Pricing at Scale." [link] with Jun Li. Operations Research (2025).  

   • INFORMS Revenue Management and Pricing Section Practice Award 2022, Finalist

   • INFORMS Innovative Applications in Analytics Award (IAAA) 2023, Finalist

Papers Under Review and Working Papers:

• "Impact of the Invisibles: Personalized Pricing on Platform with Anonymous Users." [link] with Jieqiong (Julie) Wang, Param Vir Singh. Major revision at Information Systems Research.

• "Unlocking the Value of Real-Time AI Assistance: Who Benefits, and Why?" [link] with Yao Cui and Qi Li. Major revision at Manufacturing & Service Operations Management.   

• "Learning in Human-AI Collaboration." [link] With Linda Argote, Param Vir Singh.

• "Bandits in the Lab: Diagnosing Human Decision-Making in Biomedical Research" [link] With Ziqian Ding, Param Vir Singh. 

Selective Work in Progress:

• "Love, Actually? A Randomized Experiment on AI Companion Use and Real-life Romantic Relationships." With Jiaming Jiang, Zijun (June) Shi, Kannan Srinivasan, George Loewenstein. 

• "When to Consult the Algorithm? Optimal AI Timing in Child Welfare Screening." With Yixin (Iris) Wang, Alan Scheller-Wolf.

• "Consequences of AI Assistance on Human Performance in the Absence of AI: Examination on the Role of AI Trained on Tacit and Explicit Knowledge" With Jisoo Hyun, Linda Argote

• "System Load and Human-AI Teaming in Child Welfare Screening." With Yanhan (Savannah) Tang, Alan Scheller-Wolf, Justine Galbraith, Lindsey Lacey.

Awards/Research Grants:

• Center for Intelligent Business (CIB) CoAI Teaching Fellow, AY 2024-2025

• Center for Intelligent Business (CIB) GenAI Research Fellow, AY 2024-2025

• BP America Junior Faculty Research Professorship, AY 2024-2025

• CMU Block Center for Technology and Society Proposal Seed Funds 2024

• Management Science Distinguished Service Award (2023) INFORMS

• INFORMS Innovative Applications in Analytics Award (IAAA) 2023, Finalist

• INFORMS Behavioral Operations Management Section Best Working Paper 2022, Finalist

• BP America Junior Faculty Research Professorship, AY 2022-2023

• INFORMS Revenue Management and Pricing Section Practice Award 2022, Finalist

• POMS Healthcare Best Paper Competition 2022, Third Place

• INFORMS TIMES Best Dissertation Award 2021, Winner

• IBM Service Science Best Student Paper 2019, Finalist