Hi there, I’m Yupeng!

👨🏻‍💻 I’m a 4th-year PhD candidate at Stanford Management Science and Engineering (MS&E), where I’m fortunate to be advised by Margaret Brandeau and to work closely with David Scheinker. I’m also a part of the System Utilization Research For (SURF) Stanford Medicine group, and a Marvin A. Karasek Stanford Interdisciplinary Graduate Fellow (2025–2028).

📚 I grew up in Beijing, China. I received my M.S. in Management Science and Engineering at Stanford, and my B.S. in Mathematics of Computation and Cognitive Science, with a minor in Statistics, at University of California, Los Angeles (UCLA). Previously, I was a data analyst at the Center for Health Policy Research at UCLA.

🔬 Research Interests

My research asks how scarce clinical attention and scarce resources should be allocated: who gets reviewed next, who gets screened, and who receives the next unit of care that becomes available. I study these questions with queueing theory and scheduling, discrete-event and Markov microsimulation, cost-effectiveness analysis, causal inference, and machine learning for alerting and prioritization on high-frequency sensor data. A recurring theme is policy evaluation under uncertainty and the value of information — how much of an ideal policy’s benefit a system can actually recover from the information it observes at the moment of the decision. I work on these problems in diabetes care, housing and homelessness, infectious disease, and emergency care.

🎿 Personal Interests

I love sports (skiing, hiking, soccer, tennis, long-distance running, and the list goes on), and I love travelling and exploring nature!