Hello, I’m Steven Chen. I am a Computer Science graduate student at Stanford, focusing on computer vision and artificial intelligence. I completed my undergrad in CS at UT Austin, under the Turing Scholars honors program.
I am passionate about applying AI solutions to help improve people’s lives at large scale. I’m particularly interested in autonomous vehicles and their potential to save lives, reduce traffic, and cut emissions.
I was very fortunate to have Kristen Grauman as my research advisor at UT. Our work on attributes was published in CVPR 2018 (project page here). I am currently working with Kayvon Fatahalian on performant deep neural networks for vision.
I have had the great opportunity to learn from several past internships. This summer, I worked at NVIDIA on autonomous vehicles, building fast deep neural networks for perception and optimizing multithreaded system software. Previously, I worked at Riot Games on ML recommendations for League of Legends, at Google on Google Photos MapReduce, and at RetailMeNot on ranking algorithms.
I am currently a teaching assistant for CS230 Deep Learning, taught by Kian Katanforoosh and Andrew Ng. I was a teaching assistant for CS102 Big Data taught by Dean Jennifer Widom, as well as CS161 Algorithms taught by Mary Wootters and Leonidas Guibas.
In my free time, I like to read, dance, travel, and play strategy games. I enjoy touring architecture, and I like to drive and keep up the auto industry. Here are a couple of my favorite games. I’m also a Google Local Guide, with over 2 million photo views on Google Maps!