I am a 3rd year EECS PhD student at UC Berkeley advised by Anca Dragan and Moritz Hardt. In machine learning, we have made a lot of progress on optimizing a given objective, but much less on learning or specifying what the right objective should be. I am interested in research problems that focus on the latter topic. Concrete keywords: preference elicitation, objective specification, reward learning, latent variable models, recommender systems. In my free time, I like to do improv, yoga, dance, and read. I am also the PR Coordinator for Reyes Dance.

people providing me validation

teaching

workshops co-organized

  • Participatory Approaches to Machine Learning. ICML 2020. website
  • Reliable Machine Learning in the Wild. ICML 2017. website