- Published paper 'New Approaches to Deep Learning in NLP' at IJCAI 2021
- Recipient of IEEE Best Young Scientist Award 2022
- Holds two US patents: An improved neural network training algorithm and an efficient text summarization technique
Research Experience
- AI Researcher, Google Research (2022-Present)
- Postdoctoral Research Fellow, Stanford University (2022-2023)
- Participated in multiple research projects focusing on neural network optimization and autoencoder techniques
Education
PhD in Computer Science, Massachusetts Institute of Technology (MIT) (2018-2022), Advisor: Prof. Wei Zhang; MSc in Software Engineering, Tsinghua University (2015-2018); BSc in Information Technology, Peking University (2011-2015)
Background
Focused on research in the fields of artificial intelligence and machine learning, with a particular emphasis on deep learning applications in natural language processing.
Miscellany
Enjoys participating in hackathons, reading science fiction, and is also an amateur photographer.