I am a postdoctoral scholar at Stanford University and a recipient of the NSF/CRA Computing Innovation Fellowship. Currently, I work at the Interactive Perception and Robot Learning (IPRL) lab headed by Jeannette Bohg. In the summer of 2024, I will be transitioning to a faculty position at the University of Cambridge.

I completed my PhD work on data-efficient simulation-to-reality transfer at the Robotics, Perception and Learning lab at KTH (Stockholm, Sweden), working in the group headed by Danica Kragic. During my PhD, I also had an opportunity to intern at NVIDIA Robotics (Seattle, USA) and Microsoft Research (Cambridge, UK).

Previously, I was a Masters student at the Robotics Institute at Carnegie Mellon University, developing data-efficient approaches for learning controllers for bipedal locomotion (with Akshara Rai and Chris Atkeson). During my time at CMU, my MS advisor was Emma Brunskill, and in her group I also worked on developing reinforcement learning algorithms for education.

Prior to that, I was a software engineer at Google, first in the Search Personalization group and then in the Character Recognition team (developing open-source OCR engine Tesseract).

Stanford Advisors