About Me
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 information systems, with a focus on supply chain resilience, digital platforms, and globalization. Drawing on a network perspective, I study how firms and supply networks respond to operational disruptions, trade uncertainty, and geopolitical shocks, and how AI and digital technologies reshape information sharing, user engagement, and cross-border interactions on online platforms.
Methodologically, I combine econometric techniques for causal inference with network analysis and computational methods for analyzing unstructured text and image data, including large language models (LLMs) and vision-language models (VLMs).
I am a first-generation college student.
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
- AI Washing vs. Real AI: Venture Capital Allocation and Firm Performance in British SaaS Startups, with Yiyao Zhou, Bilal Gokpinar and Onesun Steve Yoo. In preparation for submission.
- Work in Progress
- Visualizing Claims and Extending Narratives, with Tonglu Yuan
Conference Presentations
- Value Destruction and Recovery from Supply Chain Disruptions
- 2026 INFORMS Annual Meeting, San Francisco, CA (Scheduled)
- 2026 MSOM SIG Day (Harvard Business School), Boston, MA
- 2026 POMS Conference, Reno, NV
- 2025 INFORMS Annual Meeting, Atlanta, GA
- 2025 POMS Conference, Atlanta, GA
Services
- Co-organizer: Goizueta Doctoral Research Conference 2024
- Session Chair: POMS Annual Conference (Reno) 2026
- Ad Hoc Reviwer: IISE Transactions, CAIS
Teaching
- Guest Lecturer
- AI in Supply Chains (BBA, MSBA), Sp2026Measuring Resilience with the Assistance of LLMs
- Lively Globe (Prospective College Students), Su2025An Introduction to Economics
- Supply Chain Management (MSBA), Sp2025Detect Supply Chain Disruptions using Fine-Tuned LLM
- Superforecasting (BBA), Sp2024Rolling Forecast
- Teaching Assistant
- Supply Chain Management (BBA, MBA, MSBA), Sp2025, Sp2026■ 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
