I’m a M.S. student at UC Berkeley working on making interaction between robots and people more intuitive and scalable. I’ve worked as a SWE Intern @ Intuit, Data Engineering Intern @ SpaceX, and a Autonomous Vehicles Perception Intern @ NVIDIA. I’ve had the privilege of being part of various student groups while 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 worked with Anca Dragan on quantifying the benefits (both sample complexity and transferability) of explicitly modeling humans in an autonomous vehicles context. Our work was published in HRI 2019. [arXiv]

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 accepted to the NeurIPS 2019 Workshop on Safety and Robustness in Decision Making and is currently in submission to ICRA 2020. [arXiv]