BIOGRAPHY
I will join Stanford as a postdoctoral scholar advised by Prof. Emily B. Fox in the summer of 2025. Subsequently, I will join MBZUAI Statistics and Data Science as a tenure-track assistant professor in the fall of 2026.
I received my Ph.D. degree in Computer Science at UC San Diego in 2025, advised by Prof. Rose Yu and Prof. Yian Ma. I received my Bachelor degree of science in Applied Math, Physics, and Computer Sciences at University of Wisconsin-Madison in 2020. My research primarily lies in Bayesian Deep Learning, Sequential Decision Making, Scientific Machine Learning, Spatiotemporal Modeling, and AI for Public Health. The proposed approaches have been widely used in public health, traffic modeling, climate science, and drug design. For example, I designed DeepGLEAM for COVID-19 incident death forecasts. It was ranked 1st for coverage in CDC forecasting hub and featured in KPBS and Jacobs School of Engineering.
Publications
Experiences
- Spearheaded the uncertainty quantification study for spatiotemporal forecasting, compared Bayesian and Frequentist methods on traffic and COVID-19 predictions.
- Designed Time Series Foundation Model for Anomaly Detection.
- Designed the contextual offer estimation method to understand and model customer preferences.
- Spearheaded the causal inference study on multivariate point processes.