I am a Ph.D. candidate in Information Systems and Operations Management at Goizueta Business School, Emory University. I am fortunate to be advised by Professor Nikolay Osadchiy.

My research lies at the intersection of operations management and empirical methods, with a focus on supply chain networks, sustainability, and healthcare operations. I study how different forms of information (ranging from firm disclosures and campaign narratives to policy changes) shape both operational and financial outcomes. Methodologically, I combine causal inference with machine learning techniques, including applications of large language models to textual and visual data, to examine firm behavior, network dynamics, and unstructured information. Current projects investigate value destruction and recovery from supply chain disruptions, the role of risk exposures in driving firms’ environmental strategies, and the effectiveness of AI-assisted medical crowdfunding.

Education

• Present: Ph.D. Candidate, Information Systems and Operations Management, Emory University
• 2021: MRes, Operations and Technology, University College London
• 2020: M.S., Management Science and Engineering, University of Science and Technology of China
• 2017: BBA, Electronic Commerce, Sichuan University

Research

• Working Paper
  • Value Destruction and Recovery from Supply Chain Disruptions, with Nikolay Osdachiy. Available on SSRN

• Work in Progress
  • Supply Network Adaptation to Tariff Uncertainty, with Nikolay Osadchiy
  • The Effect of AI-Like Introductions on Early Fundraising Outcomes in Medical Crowdfunding, with Ruomeng Cui, Guihua Wang, Wen Zhang

Conference Presentations

• Value Destruction and Recovery from Supply Chain Disruptions
  • 2025 INFORMS Annual Meeting, Atlanta, GA (Scheduled)
  • 2025 POMS Conference, Atlanta, GA

Services

• Co-organizer: Goizueta Doctoral Research Conference 2024
• Session Organizer and Chair: POMS Annual Conference (Reno) 2026

Teaching

• Guest Lecturer
  • Lively Globe (High School Students), Su2025
    An Introduction to Economics
  • Supply Chain Management (MSBA), Sp2025
    Detect Supply Chain Disruptions using Fine-Tuned LLM
  • Superforecasting (BBA), Sp2024
    Rolling Forecast
• Teaching Assistant
  • Supply Chain Management (BBA, MBA, MSBA), Sp2025
    ■ Instructor: Nikolay Osadchiy
  • Processes & Systems Management (BBA, MBA), Sp2025
    ■ Instructor: Ruomeng Cui
  • Data Visualization (BBA, MBA), Fa2024
    ■ Instructor: Anandhi Bharadwaj
  • Deep Learning (MSBA), Sp2024
    ■ Instructor: Emma Jingfei Zhang
  • Superforecasting (BBA, MBA), Sp2024, 2023
    ■ Instructor: Donald Lee
  • Management Science in Spreadsheets (MBA), Sp2023
    ■ Instructor: Diwas KC
  • Stochastic Models (PhD), Sp2019
    ■ Instructor: Hanqin Zhang