Resume
Academic Achievements
- 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.