Published multiple papers on deep learning, one of which was accepted by ICML; received the National Natural Science Foundation Young Scientist Award; holds two US patents.
Research Experience
Worked as a researcher at Google AI Lab, involved in several NLP projects; during his time at Stanford, he was a key member of a project on image recognition.
Education
Ph.D. in Computer Science from Stanford University, advised by Prof. Li, 2018-2022; M.S. in Electrical Engineering and Computer Science from MIT, 2016-2018; B.A. in Applied Mathematics from Harvard University, 2012-2016.
Background
Research interests include Artificial Intelligence and Machine Learning; focused on applying deep learning to solve real-world problems.
Miscellany
Enjoys reading science fiction and traveling in his free time; passionate about hackathons.