Published over 20 peer-reviewed papers, including one on medical image analysis using deep neural networks featured in Nature; Won the Best Paper Award at the International Conference on Machine Learning; Holds three US patents.
Research Experience
Worked as a Researcher at Google AI Lab, focusing on NLP technologies to enhance search relevance; Collaborated with Stanford Medical School on several projects aimed at improving early cancer detection methods using deep learning techniques.
Education
PhD - Stanford University, Department of Computer Science (2015-2020), Advisor: Prof. Zhang; MSc - Massachusetts Institute of Technology, EECS (2013-2015); BSc - Harvard University, double major in Mathematics and Physics (2009-2013)
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare. Focuses on developing new algorithms to improve diagnostic accuracy and efficiency.
Miscellany
Enjoys hiking and photography in free time. Passionate about solving social issues through technology and actively participates in community service activities.