I am a PhD student at The Chinese University of Hong Kong, supervised by Prof. Viet Anh Nguyen and Prof. Daniel Zhuoyu Long. Before CUHK, I received an M.S. in Computer Science from Columbia University and a B.E. in Automation from Tsinghua University, and worked as a software development engineer at PayPal and Amazon.
I study data-driven decision-making under uncertainty, with a focus on operations research, robust optimization, machine learning, and their applications in operations management.
This paper proposes IDEAL, a selective dual-dispatch framework for ambulance response under contextual and correlated travel-time uncertainty. The method learns scenario-aware travel-time representations from dispatch records and dispatches a second ambulance only when the optimistic path gap justifies the capacity cost.
Delivered Australia CDR and US FDX consumer-permissioned data-sharing APIs with Java/Spring Boot microservices, REST integrations, and Spring Batch pipelines.
Built AWS audit workflows for Climate Pledge Friendly to support a six-country launch; implemented Scala Glue ETL over roughly 80M product records per day and contributed to ML/NLP auto-audit tools.
Built a mobile Shopping Assistant widget and backend recommendation aggregation logic for personalized shopping scenarios in the Amazon mobile app.
PhD student
M.S. in Computer Science
B.E. in Automation
Tsinghua University
Ministry of Education, P.R. China
COMAP