Postdoctoral Researcher
Computer Science Department
Stanford University
icovert@stanford.edu
cv | blog | github | google scholar
I'm a postdoctoral researcher at Stanford University, where I'm advised by James Zou and Tatsu Hashimoto.
I was previously a Ph.D. student at the University of Washington, where I was advised by Su-In Lee. I also worked with Emily Fox at UW, I was a student researcher at Google Brain working with Jiening Zhan and Ming Jack Po, and I interned as a quantitative researcher at Citadel Securities and Goldman Sachs. Before that, I completed my Bachelor's degree at Columbia University, where I did computational neuroscience research in Liam Paninski's lab.
I co-created an explainable AI course in Spring 2022. The course materials are available here.
Spring 2022: Co-instructor for CSEP 590: Explainable AI at University of Washington
Winter 2019: Teaching Assistant for EE 578: Convex Optimization at University of Washington
Conference reviewing: NeurIPS (2018-2024), ICML (2020-2023), ICLR (2021-2025), AISTATS (2021-2025), MLHC (2020-2022)
Journal reviewing: TMLR, Patterns (Cell), Machine Learning (Springer), Artifical Intelligence (Elsevier)