I am a Ph.D. student in the Stanford Vision Lab, advised by Prof. Fei-Fei Li. My research interests are in computer vision, machine learning, and deep learning. I'm particularly interested in the areas of video understanding, human action recognition, and healthcare applications.
I interned at Facebook AI Research in Summer 2016, and Google Cloud AI in Summer 2017. I also co-taught Stanford's CS231N Convolutional Neural Networks course in 2017, with Justin Johnson and Fei-Fei Li.
Before starting my Ph.D., I received a B.S. in Electrical Engineering in 2010, and an M.S. in Electrical Engineering in 2013, both from Stanford. I also worked as a software engineer at Rockmelt (acquired by Yahoo) from 2009-2011.
I am a member of the Stanford Program in AI-Assisted Care (PAC), which is a collaboration between the Stanford AI Lab and Stanford Clinical Excellence Research Center that aims to use computer vision and machine learning to create AI-assisted smart healthcare spaces. My particular focus is on applying my research in human action recognition towards hand hygiene-based infection control, logging of clinical care activities, and continuous patient assessment in hospital intensive care units.
Our collaborators include Lucile Packard Children's Hospital at Stanford, Stanford Health Care, and Intermountain Healthcare.
I enjoy helping future generations of researchers and engineers discover the exciting field of AI. I was a Research Instructor for SAILORS 2015, a 2-week summer program run by the AI Lab for 10th grade girls. In the past I've also co-organized Stanford's JETS Engineering Outreach Day for high school students, and been involved with programs including Exploring New Worlds, for elementary school students from underprivileged areas, and TechGyrls.