I’m currently a PhD student at UT Austin advised by Dr. David Fridovich-Keil.

I work on decision-making algorithms for artificial intelligence. My research is based on the premise that intelligence must experiment and adapt: experiment to find inconsistencies between its world model and reality, adapt to update those models.

I develop algorithms that 1) quantify model uncertainty and 2) design experiments to resolve that uncertainty. My work spans machine learning, robotics, active learning, experiment design, reinforcement learning, information theory, and numerical optimization.

Google Scholar GitHub LinkedIn About Me

Click here to filter by papers.