Ph.D. student in Electrical Engineering and Computer Science
at the University of California, Berkeley
Building out Distribution-Free Uncertainty Quantification, motivated by applications to medicine and computational imaging.
October, 2022 I was lucky to collaborate with Bat-Sheva Einbinder, who showed that conformal prediction is robust to certain types of label noise in her new paper. Take a look!
August, 2022 Check out our paper, Conformal Risk Control. Shockingly, conformal prediction can be used to bound risk functions far beyond coverage. This is a short and useful read (the theory section is 2 pages).