About

I'm a final year PhD student in the theory group at the University of Toronto, currently under the supervision of Sushant Sachdeva. I completed my undergraduate studies at the National University of Singapore, where I studied mathematics and computer science. My research interests are primarily in spectral graph theory and continuous optimization.

Previously, I was a quantitative trading intern at Jane Street Capital and a quantitative finance intern at Morgan Stanley.

I visited the Simons Institute at the University of California, Berkeley for Fall 2023 during the Data Structures and Optimization for Fast Algorithms program.

My cv is available here.

Publications

Generalized Flow in Nearly-Linear Time on Moderately Dense Graphs

Shunhua Jiang, Michael Kapralov, Lawrence Li, Aaron Sidford (FOCS 2025)

Faster Algorithms for Separable Linear Programs

Sally Dong, Gramoz Goranci, Lawrence Li, Sushant Sachdeva, Guanghao Ye (SODA 2024)

Arxiv

A New Approach To Estimating Effective Resistances and Counting Spanning Trees in Expander Graphs

Lawrence Li, Sushant Sachdeva

ACM-SIAM Symposium on Discrete Algorithms (SODA 2023)

Arxiv

How Fast Can You Update Your MST? (Dynamic Algorithms For Cluster Computing)

Seth Gilbert, Lawrence Li
ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020)

Arxiv

Other

I like puzzles and various games. I am currently very much so enjoying dominion, where I play in a league.

I also occasionally join competitive programming contests on codeforces, or post on my blog.