Published over 30 papers, with several accepted by top journals such as Nature Communications, IEEE Transactions on Medical Imaging, etc.
Recipient of the Young Scientist Award in 2019.
Holds two patents related to improving CT scan image quality.
Research Experience
Currently an Assistant Professor at UC Berkeley (since 2020). Formerly a Google AI Researcher (2018-2020), working on several AI-driven healthcare projects.
During his PhD, he was a key researcher in multiple interdisciplinary teams focusing on using deep learning methods for medical image analysis.
Education
PhD, Stanford University, Department of Computer Science, Advisor: Prof. Li (2015-2020)
MSc, Massachusetts Institute of Technology, EECS (2013-2015)
BA, Harvard University, Double Major in Mathematics and Physics (2009-2013)
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare; dedicated to developing technologies that improve the accuracy of disease diagnosis.
Miscellany
Enjoys hiking and photography in his free time, believing these activities help relax and inspire new ideas.