Published multiple papers in top-tier conferences such as ICML, NeurIPS; Received the Best Ph.D. Thesis Award from MIT in 2021; Holds two patents related to deep learning architecture optimization.
Research Experience
Researcher at MIT AI Lab (2020-Present), mainly working on developing new NLP algorithms; Intern at Google Research (Summer 2019), participated in a project to improve speech recognition technology.
Education
Ph.D. in Computer Science, Massachusetts Institute of Technology (2018-2022), Advisor: Prof. Zhang; M.S. in Electrical Engineering, Stanford University (2016-2018); B.S. in Physics, University of California, Berkeley (2012-2016)
Background
Focuses on the fields of artificial intelligence and machine learning, particularly in natural language processing. Has extensive experience in interdisciplinary research.
Miscellany
Enjoys traveling, photography, and trying out different cuisines.