Resume
Academic Achievements
- Published 'A New Approach to Text Classification Using Deep Neural Networks' in Nature Communications; won Best Student Paper Award at the International Conference on Machine Learning; holds two US patents related to image recognition technology.
Research Experience
- As a researcher at Google, participated in multiple natural language processing projects; interned at Microsoft Research focusing on the application of deep learning technologies.
Education
- PhD in Computer Science from Stanford University, supervised by Prof. Li (2015-2020); MSc in Electrical Engineering and Computer Science from MIT (2013-2015); BA in Mathematics and Physics from Harvard University (2009-2013).
Background
- Research interests include artificial intelligence, machine learning, and data science. Dedicated to solving complex problems through advanced algorithms.
Miscellany
- In his free time, enjoys reading science fiction, hiking, and contributing to open-source software development communities.