I'm a first-year Computer Science Master's student at Stanford University,
specializing at the intersection of machine learning and robotics. My research centers around
robotic perception and manipulation. In particular, I'm exploring ways in which robots can self-acquire
generalizable representations that are useful and efficient for manipulation.
This summer, I interned at
Google Brain Robotics under
Johnny Lee, trying to teach robots generalizable kit assembly skills. The summer before, I
interned at
Nimble AI where I built the infrastructure for training
and deploying various real-time grasping algorithms for suction and parallel-jaw grasping. Before that, I was a visiting
researcher in the
Khuri-Yakub Ultrasonics Group at Stanford,
applying machine learning to enhance ultrasonic transducers like a chemical nose and a touch screen.
Outside of work I enjoy contributing to open source and
blogging.
News.
Jun. 2020 - We're finalists for the 2020 ICRA
Best Paper Award in Automation.
Mar. 2020 - I'm a TA for Stanford's
CS231n this Spring quarter!
Feb. 2020 - Super stoked to announce that I'll be joining
Google X as an AI resident this summer, working on the Everyday Robot Project.
Jan. 2020 - Excited to share that
Form2Fit has been accepted to ICRA 2020!
Oct. 2019 - Proud to finally share what I've been up to this summer! Read about
Form2Fit on the
Google AI Blog.
