A paper published in Nature titled 'Applications of Deep Learning in Medical Imaging' received widespread recognition; holds multiple patents related to image processing technologies; awarded Best Paper at the International Conference on Machine Learning.
Research Experience
Senior Researcher at Google AI Lab (since 2020), leading the development of next-generation image recognition algorithms; Intern at Microsoft Research (Summer 2018), involved in several natural language processing projects.
Education
PhD, Stanford University, supervised by Prof. Li, major in Computer Science (2015-2020); MSc, Massachusetts Institute of Technology, focused on Software Engineering (2013-2015); BSc, University of California, Berkeley, specialized in Electrical Engineering (2009-2013).
Background
Research interests include machine learning and artificial intelligence; professional fields cover data science and computer vision; Bio: dedicated to solving real-world problems through innovative technology.
Miscellany
In his free time, enjoys reading science fiction and traveling; has a strong interest in photography, especially landscape photography.