Published multiple papers in top-tier journals, including a study on AI-assisted diagnosis in Nature; received the Best Paper Award at an international machine learning conference.
Research Experience
Worked as a researcher at Google AI, focusing on developing new machine learning algorithms to improve the accuracy of medical image analysis. Also participated in several interdisciplinary projects, such as using AI to improve the diagnosis process for rare diseases.
Education
PhD, Massachusetts Institute of Technology (MIT), Computer Science, Advisor: Prof. Zhang; Master's, Stanford University, Electrical Engineering; Bachelor's, Harvard University, Physics.
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare. Has a strong background in computer science.
Miscellany
Enjoys hiking and photography, likes to explore natural landscapes and capture them through the lens during free time.