Hi! I'm Nishant.

I am a first-year PhD student in Robotics at Michigan, advised by Jean-Baptiste Jeannin. In the past, I've worked as a research intern at Uber ATG and on simulation for automated trucks at Ike.

I went to Berkeley, where I studied electrical engineering and computer science, taught a data science course that the Wall Street Journal wrote about, and researched traffic-mitigating strategies for autonomous vehicles and intelligent infrastructure.

I helped build Flow, an open-source framework inferfacing the microscopic vehicle simulator SUMO with the deep reinforcement libraries RLlib and rllab. Flow enables the design and analysis of traffic scenarios as well as the training of agents using deep RL. Here are some papers I've worked on. I also like to bake, read, and bike.

Email me if you'd like. This is my resume, though it's out of date right now.

Shamelessly inspired by Canzhi's website, which is inspired by this other one.