about
I am a Postdoctoral Fellow at UT Austin, hosted by David Zuckerman. I recently received my PhD in computer science from Cornell University, where I was advised by Eshan Chattopadhyay. Before that, I was an undergraduate student at Princeton University, and received a BSE in computer science.
My primary interests lie in combinatorics, complexity theory, and pseudorandomness.
thesis
publications

Improved Condensers for ChorGoldreich Sources
Jesse Goodman, Xin Li, David Zuckerman
FOCS 2024

Extractors for polynomial sources over F_{2}
Eshan Chattopadhyay, Jesse Goodman, Mohit Gurumukhani
ITCS 2024

The space complexity of sampling
Eshan Chattopadhyay, Jesse Goodman, David Zuckerman
ITCS 2022 [video]

Improved extractors for smallspace sources
Eshan Chattopadhyay, Jesse Goodman
FOCS 2021 [video]

Extractors and secret sharing against bounded collusion protocols
Eshan Chattopadhyay, Jesse Goodman, Vipul Goyal, Ashutosh Kumar, Xin Li, Raghu Meka, David Zuckerman (merge of [CGGL] and [KMZ])
FOCS 2020 [video]

Extractors for adversarial sources via extremal hypergraphs
Eshan Chattopadhyay, Jesse Goodman, Vipul Goyal, Xin Li
STOC 2020 [video]

On the approximability of Time Disjoint Walks
Alexandre Bayen, Jesse Goodman, Eugene Vinitsky
Journal of Combinatorial Optimization 2020
teaching
 CS 4820 (Introduction to Analysis of Algorithms), Spring 2023, TA, Cornell
 CS 4820 (Introduction to Analysis of Algorithms), Spring 2019, TA, Cornell
 CS 4820 (Introduction to Analysis of Algorithms), Fall 2018, TA, Cornell
 MAT 375 (Introduction to Graph Theory), Spring 2017, TA, Princeton
 Princeton Splash 2017, Berkeley Splash 2018