About me
I am a PhD Candidate at the University of Texas at Austin. My research is in computational learning theory. I create efficient algorithms and study statistical limits for learning different concept classes. My current work focuses on proper learning and robustness to complex forms of data corruption.
arXiv preprint, 2026
We give the first efficient algorithm to achieve information-theoretically optimal error under nasty noise, given an ERM oracle or L2 polynomial approximations for the concept class.
NeurIPS 2026Spotlight [TOP 3%]
We created the first algorithm for properly agnostically learning Boolean functions of halfspaces under Gaussian marginals.
University of Texas at Austin
University of Chicago
HSE University