As of fall 2020, I am a PhD student in the Robotics Institute at Carnegie Mellon University advised by Prof. Changliu Liu and Prof. Andrea Bajcsy. I am grateful to be funded by the NSF Graduate Research Fellowship. My PhD research focuses on enabling robots to safely and efficiently interact with humans while accounting for the influence they have on peoples’ actions and intentions.
Previously, I was a data scientist at the Global AI Accelerator (GAIA) within Ericsson.
As an undergrad at UC Berkeley, I primarily worked with Prof. Anca Dragan, but I also had the privilege of working in Prof. Ruzena Bajcsy's and Prof. Ron Fearing's labs.
Please see my Google Scholar for an up-to-date list of publications.
PhD in Robotics, 2020 - Present
Carnegie Mellon University
BS in Electrical Engineering and Computer Science, 2015-2019
UC Berkeley
[July 2024] I attended the American Control Conference (ACC) 2024 in Toronto to present our work on multimodal safe control for HRI!
[May 2024] I attended ICRA 2024 in Yokohama to present our work on multi-agent strategy explanations and on model-based conditional behavior prediction!
[May 2024] I gave a talk on some of my recent work in the CMU Learning and Control Seminar.
[Apr 2024] I passed my PhD Thesis Proposal!
[Jan 2024] Our work on multi-agent strategy explanations was accepted to ICRA 2024!