Jiayi Li
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PhD Student, |
About me
I am a Ph.D. student at UCLA advised by Professor Guido Montúfar, where I work on statistical machine learning problems with a focus on foundations of deep learning.
Prior to graduate school, I did bachelors in Mathematics at SUNY Stony Brook and The University of Hong Kong. I was fortunate to be advised by Professor Robert Lazarsfeld who introduced me to the wonderful world of classical algebraic geometry.
Here are topics I am currently working on and/or hope to explore in the recent future:
Deep learning theory: implicit bias, generalization, non-convex optimization
Algebraic statistics
News
Aug, 2022 I attended the Deep Learning Theory workshop at the Simons Institute for Theories of Computing at Berkeley.
Jun, 2022 I was appointed as the new co Editor-in-Chief at XRDS. Check out our current issue!
May, 2022 I attended the Algebraic Statistics Conference at University of Hawaii. Love the place and people!
Aug, 2021 I attended Conference on Mathematics of Machine Learning] at MPI MiS.
May, 2021 I attended ICLR 2021, funded by WiML.
Jan, 2021 I attended TRIPODS Winter School & Workshop on Graph Learning and Deep Learning.
Dec, 2020 I attended NeurIPS 2020, funded by ACM.
Dec, 2020 I served as a student volunteer for the WiML workshop at NeurIPS. It was a pleasure to meet everyone!
Nov, 2020 I was fortunte to be selected as one of the two ACM-W Scholarship awardees.
Oct, 2020 I started editorship at XRDS.
Jun, 2020 I received Cathay Bank Scholarship.
Awards
Summer Mentored Research Fellowship, UCLA, 2022
ACM-W Scholarship, Association for Computing Machinery, 2020
Cathay Bank Scholarship, 2020
William Lowell Putnam Competition, school team, 2017, 2018
MSRI Travel Fund, MSRI, 2017
Overseas Research Fellowship, The University of Hong Kong, 2016
Research Open House Competition Prize, Faculty of Science, The University of Hong Kong, 2015
Undergraduate Research Fellowship, The University of Hong Kong, 2015