I am a 4-th-year PhD student in Statistics at Rice University, advised by Dr. Eric Chi (now at University of Minnesota) and Dr. Hengrui Luo. Before joining Rice, I graduated from UC - Santa Barbara in 2022 with a major in Financial Math and Statistics (highest honor at graduation).

My expertise lies in building and implementing advanced statistical models and studying machine learning method and theory. I am currently working on projects about robust estimation, tensor regression, and transfer learning, and I am broadly interested in machine learning, computational statistics, covex optimization, high-dimensional statistics, and Bayesian surrogate modelling, and their applications in various fields, such as physics, biology, and public health.

Outside of research, I love travelling, hiking, and soccer. I am also an (acoustic) guitar soloist.

News

• July 2025: Our paper “Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection” is accepted for a poster presentation at Texas-Louisiana Section of SIAM 8th Annual Meeting in September!
• July 2025：Our paper “Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection” is now on arXiv!
• May 2025: Our work “Transfer Learning for Survival-based Clustering of Predictors with an Application to TP53 Mutation Annotation” has been selected by IMS FSML 2025 and received the IMS FSML Travel Award.
• May 2024: Our work “A Robust Estimation Framework for Spatiotemproal Epidemic Models” has been accepted for poster presentation at IRSA at University of Minnesota in May!
• April 2024： Our work “A Robust Estimation Framework for Spatiotemproal Epidemic Models” has been accepted for contributed talk at JSM in August!