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 2026Our paper “Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection” has been accepted for publication in the Annals of Applied Statistics!
April 2026Our paper “Transfer Learning for Robust Structured Regression with Bi-level Source Detection” is now on arXiv!
March 2026Our paper “Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression” is now on arXiv!
November 2025I am pleased to announce that I am awarded the Ken Kennedy Institute - HPE Cray Graduate Fellowship for 2025 - 2026. I would like to express my sincere gratitude to HPE Cray for their generous sponsorship and support! Thank you!
July 2025Our 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 2025Our paper “Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection” is now on arXiv!
May 2025Our 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 2024Our work “A Robust Estimation Framework for Spatiotemporal Epidemic Models” has been accepted for poster presentation at IRSA at University of Minnesota in May!
April 2024Our work “A Robust Estimation Framework for Spatiotemporal Epidemic Models” has been accepted for contributed talk at JSM in August!
