About Me
Hi! I am Sean Tsung, a fourth-year PhD student in Management Science and Engineering at Stanford University, advised by Professors Margaret Brandeau and Yue Hu.
My research sits at the intersection of healthcare operations, digital health, and health policy. I use operations research, causal inference, and AI methods to evaluate technology-enabled care and develop practical approaches that improve access, efficiency, and quality of care while helping health systems allocate scarce clinical capacity.
Education
Stanford University
Ph.D. in Management Science and Engineering (in progress)
- Ph.D. Minor in Biomedical Data Science
M.S. in Epidemiology and Clinical Research (concurrent program, admitted 2025)
University of California, Berkeley
M.S. in Industrial Engineering and Operations Research (awarded May 2023)
B.S. in Industrial Engineering and Operations Research (awarded May 2022)
B.A. in Data Science (awarded May 2022)
- Domain Emphasis in Linguistic Sciences
Research Papers
Journal Articles
Telemedicine Use and Access to Care for New Patients at an Academic Cardiovascular Center: An Analysis of Geographic Reach and Wait Times
Sean Tsung*, Yan Bo Zeng*, Vijaya Parameswaran, Fatima Rodriguez, Yue Hu, David Scheinker, and Neil M. Kalwani
Journal of the American Heart Association, 2026.
Cost-Effectiveness of Nirsevimab and Maternal RSVpreF Vaccination Strategies in Low-Risk Infants
Sean Tsung*, Yan Bo Zeng*, Kevan Shah, Steven Asch, Joshua A. Salomon, Douglas K. Owens, and Kevin Chen
Pediatrics, 2026.
• Media coverage: Medical Tribune
Distance-Stratified Sociodemographic Differences in Telemedicine Use at Surgical Oncology Clinics: Three-Year Trends at a Large Academic Medical Center
Vijaya Parameswaran*, Sean Tsung*, Yan Bo Zeng, Marci Miller, Joshua Pritchett, Bart Demaerschalk, Leah Rosengaus, Christopher Sharp, Byrne Lee, and Sumit Shah
npj Digital Medicine, 2026.
Evaluating Large Language Models and Retrieval Augmented Generation Enhancement for Delivering Guideline-Adherent Nutrition Information in Cardiovascular Disease Prevention: A Cross-Sectional Study
Vijaya Parameswaran, Jenna Bernard, Alec Bernard, Neil Deo, Sean Tsung, Kalle Lyytinen, Christopher Sharp, Fatima Rodriguez, David J. Maron, and Rajesh Dash
Journal of Medical Internet Research, 2025.
Telemedicine Trends in Ambulatory Surgical Oncology: A Five-Year Analysis of Visit Volume and Utilization at a High-Volume Academic Center
Vijaya Parameswaran, Marci Miller, Joshua Pritchett, Bart Demaerschalk, Yue Hu, Sean Tsung, Yan Bo Zeng, Leah Rosengaus, Christopher Sharp, Byrne Lee, and Sumit Shah
Annals of Surgical Oncology, 2025.
Conference Papers
BlockLens: Visual Analytics of Student Coding Behaviors in Block-Based Programming Environments
Sean Tsung, Huan Wei, Haotian Li, Yong Wang, Meng Xia, and Huamin Qu
Proceedings of the Ninth ACM Conference on Learning @ Scale (L@S '22), 2022.
Working Papers
AI-Enabled Task Allocation: Measuring Provider Effects and Improving Secure Message Routing
Sean Tsung, Jisun Lee, Yue Hu, Song-Hee Kim, and Vijaya Parameswaran
Working paper.
• Accepted for presentation, Wharton Empirical Operations Management (EMPOM) + AI Workshop 2026.
Frequency-Based Heterogeneity in Patient Characteristics and Resource Utilization among Secure Messaging Users in Primary Care
Jisun Lee, Sean Tsung, Yue Hu, Song-Hee Kim, Steven Asch, Timothy Tsai, Olivia Jee, Michael A. Pfeffer, Christopher Sharp, and Vijaya Parameswaran
Working paper.
ViSRL: A Visual Learning Analytics System for Self-Regulated Learning
Huan Wei, Haotian Li, Sean Tsung, Meng Xia, Yong Wang, and Huamin Qu
Working paper.
* denotes co-first authorship.
Teaching
Teaching Assistant
Fundamentals of Data Science: Prediction, Inference, Causality
MS&E 226 · Autumn 2026
The Ethical Analyst
MS&E 254 · Spring 2025, Spring 2026
Healthcare Operations Management
MS&E 263 · Winter 2026
Optimization and Simulation Modeling (MBA Core)
OIT 245 · Autumn 2025