Ph.D. student in Electrical Engineering and Computer Science
at the University of California, Berkeley
I'm interested in statistics for black-box models, motivated by applications to medical and computational imaging.
July, 2021 A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification has been posted! We are soliciting feedback before arXiv, so please email me with any and all thoughts if you read it.
May, 2021 I'm co-organizing the 2021 ICML Workshop on Distribution-free Uncertainty Quantification , which will take place on Saturday, July 24, 2021.
April, 2021 Shift-variant deblurring for rotationally symmetric systems was accepted to the OSA COSI conference.
February, 2021 We released Distribution-Free, Risk-Controlling Prediction Sets and Private Prediction Sets.
January, 2021 Uncertainty Sets for Image Classification Using Conformal Prediction will be a spotlight paper at ICLR2021.