- Published paper 'Application of Improved Neural Network Models in NLP' at NeurIPS 2019
- Received Best Paper Award at International Conference on Machine Learning, 2020
- Filed and granted a patent titled 'A Novel Method for Deep Learning Acceleration'
Research Experience
- Project Lead, Deep Learning Research Center, Stanford University, 2018-Present
- Research Assistant, AI Lab, Massachusetts Institute of Technology, 2014-2015
Education
- Ph.D., Computer Science, Stanford University, Advisor: Prof. Li, 2015-2020
- M.S., Electrical Engineering, Massachusetts Institute of Technology, 2013-2015
- B.A., Physics, Harvard University, 2009-2013
Background
Focuses on the fields of artificial intelligence and machine learning, particularly deep learning algorithms and their applications in natural language processing. Has extensive interdisciplinary research experience.
Miscellany
Enjoys reading science fiction and hiking in spare time.