I’m a PhD student at the CLeAR Lab at UT Austin and I work on decision-making algorithms for artificial intelligence. I’m interested in building AI that can quantify its uncertainty and take an active role in reducing it. I’ve applied my research to robots, and I’m currently working on applying it to LLMs.

My research interests stem from the fact that intelligence adapts and experiments. The importance of adaptation should be obvious, but experimentation might be more subtle. The fundamental structure of the world can only be discovered through careful experimentation. Careful experimentation is neither passive observation nor brute-force action. Instead it looks more like clever probing of the inconsistencies between our world models and reality, followed by the adaptation of our world models. To this end, I work on algorithms that 1) find the inconsistencies (quantify uncertainty) and 2) come up with the right experiments to tease out new explanations (active uncertainty reduction).

Links: Google Scholar, GitHub, LinkedIn, About Me.

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Last updated: July 2025