Published multiple papers in top-tier journals, including an article on lung cancer prediction in Nature Medicine; received the Best Student Paper Award at an international machine learning conference; holds two US patents.
Research Experience
As a researcher at Stanford School of Medicine, participated in several interdisciplinary projects such as using deep learning for improving early cancer detection systems; interned at Google AI Lab, working on optimizing NLP models.
Education
PhD, Computer Science - Stanford University (2015-2020), Advisor: Prof. Li; MSc, Bioinformatics - UC Berkeley (2013-2015); BSc, Mathematics & Computer Science - Harvard University (2009-2013)
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare; focused on developing new algorithms to improve diagnostic accuracy and treatment outcomes.
Miscellany
In his free time, enjoys rock climbing and hackathons; actively involved in community service, particularly STEM education outreach programs.