Hi! I am currently a research scientist on the prediction and planning team at Waymo.

I received my Ph.D. from the EECS department at UC Berkeley, where I was advised by Sanjit Seshia and supported by the NDSEG Fellowship. My thesis broadly focused on the development of neuro-symbolic techniques to improve the safety, reliability, and consistency of robotic and autonomous behavior. Please see my research for more details.

Before coming to Berkeley, I completed my undergraduate and Master's training at Rice University, where I worked on projects related to interpretable machine learning via program synthesis and formal methods. I was advised by Swarat Chaudhuri, and also collaborated on projects with Ankit Patel and Richard Baraniuk.

In my free time, I enjoy doing a lot of things, including but not limited to: playing tennis, reading novels, inventing new recipes, and repeatedly fixing and breaking my jumpshot. I'm originally from Cleveland, Ohio, and I always make sure to watch my beloved Cavaliers break my heart year after year.

You can find me on X or on Google Scholar. The best way to reach me is by sending me an email at ameesh@berkeley.edu.