I’m an incoming PhD student in the Robotics Institute at Carnegie Mellon University working on human-centered robotics. I’ve worked as a SWE Intern @ Intuit, Data Engineering Intern @ SpaceX, Autonomous Vehicles Perception Intern @ NVIDIA, and Motion Planning Intern @ Aurora. I had the privilege of being part of various student groups while I was at Berkeley:

• Machine Learning @ Berkeley
• Space Technologies @ Cal
• The Berkeley Forum
• Eta Kappa Nu
• iOS DeCal
• Codebase

In my free time, I do origami and hack things together. I’m a huge fan of cats (especially Pusheen), books (especially those by Haruki Murakami), and alternative music (especially that of Radiohead).

Academic Summary

I completed my M.S. at UC Berkeley, working with Sid Reddy on brain-computer interface-based control via deep reinforcement learning and meta-learning. Chapter 4 of my thesis describes some of our preliminary results.

I worked with Professors Dragan and Sergey Levine on allowing one person to supervise and provide corrections to a fleet of learning robots. Our work was published in NeurIPS 2019 and ICRA 2020. [arXiv]

I worked with Anca Dragan and Dylan Hadfield-Menell on quantifying the benefits (both sample complexity and transferability) of explicitly modeling humans in an autonomous vehicles context. [arXiv]