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 primary focus on supply chain management and sustainability. I study how firms and their supply networks recover from and adapt to shocks such as operational disruptions, tariff uncertainty, and military conflicts, with an emphasis on understanding the mechanisms that foster supply chain resilience. Methodologically, I rely on econometric techniques for causal inference and leverage large language and vision-language models (LLMs and VLMs) to extract and analyze unstructured information from texts and images through fine-tuning. I am also interested in the future of business from the energy and supply chain perspective, specifically, how firms adapt to evolving energy sources, including the increasing use of renewable energy, and how such adaptation can be systematically measured at both firm and network levels.

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

Conference Presentations

• Value Destruction and Recovery from Supply Chain Disruptions
  • 2026 POMS Conference, Reno, NV (Scheduled)
  • 2025 INFORMS Annual Meeting, Atlanta, GA
  • 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 (Prospective College 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