Jiayi Li

Pronunciation: jyä′ē′
alt text 

PhD Student,
Department of Statistics,
University of California Los Angeles (UCLA)
Pronouns: She/her/hers
E-mail: jiayi.li [@] g.ucla [DOT] edu

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: Generalization, Non-convex optimization

  • Algebraic statistics

  • Manifold learning

News

  • 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. Check out our current issue!

  • Jun, 2020 I received Cathay Bank Scholarship.

Awards

  • Summer Mentored Research Fellowship, UCLA, 2021

  • 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