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.

You can find my resumé here. If you know me personally, connect with me on LinkedIn.

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!