Published multiple journal papers in journals such as Cancer Cell, IEEE Transactions on Image Processing, Nature Communications, etc., and had several conference papers accepted, including MMFM-BIOMED @ CVPR 2025, ISBI 2025, etc. Additionally, has multiple patents and several conference abstracts accepted.
Research Experience
Started as Instructor at UT MD Anderson Cancer Center in Houston, TX in April 2023; started as Principal Data Scientist at UT MD Anderson Cancer Center in Houston, TX in December 2023.
Education
Received a B.S. degree in software engineering from Dalian University of Technology in 2012; an M.S. degree in medical image analysis from Dalian University of Technology in 2015; and a Ph.D. degree in biomedical engineering from the University of Florida in 2020.
Background
Serves as Principal Data Scientist dedicated to Computational Pathology at The University of Texas MD Anderson Cancer Center. His research focuses on 1) AI-assisted digital pathology analysis for automating routine pathologic diagnosis and prognosis, 2) data- and biology-driven approaches to identify novel pathological biomarkers, and 3) intelligent multi-modality data integration to facilitate personalized cancer therapy.