I am a PhD student in the Department of Computational Medicine and Bioinformatics (DCMB) at the University of Michigan (U-M). I am a member of the Machine Learning in Neurosurgery Laboratory, led by Dr. Todd Hollon. My research focuses on computer vision, machine learning, and biomedical data science. I am especially interested in representation learning and integrating observations from multiple modalities. Previously, I completed a joint BSE/MSE degree program in Computer Science and Engineering at U-M, where I also played tenor saxophone in the Michigan Marching Band.
Recent Publications
ICLR LMRL WORKSHOP | 2026 SPOTLIGHT
Incorporating contextual information into KGWAS for interpretable GWAS discovery
NEURIPS AIM-FM WORKSHOP | 2024
A self-supervised framework for learning whole slide representations
NEURIPS DATASETS & BENCHMARKS | 2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histologyAwards
National Institute of Neurological Disorders and Stroke | NIH/NINDS F31NS135973 | December 2023
University of Michigan Rackham Graduate School | April 2022
University of Michigan | NIH/NIGMS T32GM141746 | August 2021
National Science Foundation | March 2021
University of Michigan Marching Band | May 2019
University of Michigan EECS Department | March 2019
University of Michigan | March 2017
Teaching
ENGR 101 @ University of Michigan
Introduction to Computers & Programming
Winter 2021 | Fall 2020 | Winter 2020 | Fall 2019