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
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
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
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