I am a second-year PhD student at Columbia University advised by Carl Vondrick. My research aims to create machines that understand and generate human behavior in a dynamic world. In the past, I have worked on creative AI (see my Masters thesis) and making vision-language models consistent. My research is supported by the Columbia Presidential Fellowship. At Columbia, I co-organize the Vision, Interaction, Graphics & Robotics (VIGR) seminar.
I completed my Masters in Computer Science from Georgia Tech in 2020 where I was advised by Devi Parikh. During my Masters I also collaborated with Ani Kembhavi at Allen AI. In 2018, I obtained my Bachelor's Degree in Computer Science from College of Engineering Pune (COEP) in India.
I have been fortunate to intern at UC San Diego (2020) with Xiaolong Wang, AiBee (2019) with Chunhui Gu, and NTU Singapore (2017) with Arvind Easwaran. In my free time, I enjoy listening to and practicing Indian classical music and playing boardgames. I also enjoy hiking, photography and sketching!
Landscape Learning for Neural Network Inversion Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
Teaching & Mentorship
Teaching AssistantColumbia University
Amazon & Colubmia University