Published 'Efficient Large-Scale Image Recognition Techniques' at CVPR 2019; Won the Best PhD Thesis Award of 2020.
Research Experience
Worked as a Researcher at Google AI, involved in multiple deep learning projects; Interned at Microsoft Research, working on natural language processing.
Education
PhD in Computer Science from Stanford University, 2015-2020, Advisor: Prof. John Doe; Master's degree in Electrical Engineering and Computer Science from MIT, 2013-2015.
Background
Research interests include Artificial Intelligence and Machine Learning; focused on developing new algorithms to improve data processing efficiency.
Miscellany
Enjoys photography and traveling; passionate about contributing to open-source software.