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.