Published a paper in Nature titled 'Improving Lung Disease Diagnosis with Deep Learning'; Won the Best Paper Award at the 2022 International Conference on Machine Learning; Holds two US patents related to data processing and analysis techniques.
Research Experience
Served as a Researcher at the Stanford AI Lab, working on projects to use AI to improve the efficiency of healthcare services; Interned at Google's AI department, developing new speech recognition algorithms.
Education
PhD - Computer Science, Stanford University (Advisor: Prof. Li), 2018-2023; MS - Electrical Engineering and Computer Sciences, UC Berkeley, 2016-2018; BS - Electrical Engineering and Computer Science, MIT, 2012-2016.
Background
A researcher focused on artificial intelligence and machine learning. His research interests include deep learning, natural language processing, and their applications in healthcare.
Miscellany
Enjoys reading science fiction and tech blogs in his free time. Loves outdoor activities, especially hiking.