Kristin Sheridan

Graduate student
University of Texas at Austin
Department of Computer Science
ksheridan AT utexas DOT edu

Bio

I am currently a fourth year PhD student studying theoretical computer science at the University of Texas at Austin, where I am lucky to be advised by Prof. Shuchi Chawla. I am particularly interested in topics related to algorithms in graph theory and metric embeddings.

In the Summer of 2023, I worked at NASA's Glenn Research Center in Cleveland, Ohio, under the guidance of Robert Short. I was a part of the high rate delay tolerant networking (HDTN) team and worked on algorithm design for max flow over time in time-varying graphs.

Prior to attending UT, I completed my B.S. ('20) and M.Eng. ('21) in Computer Science with Electrical Engineering at the Massachusetts Institute of Technology. I was advised by the great mentors Prof. Virginia Vassilevska Williams and Prof. Mark Bathe for my M.Eng., and my thesis was Graph factorization and pseudofactorization with applications to hypercube embeddings.

Papers

Title	Authors	Venue		Year
Faster feasibility for dynamic flows and transshipments on temporal networks	Shuchi Chawla, K. Sheridan	preprint	ArXiv	2024
Composition of nested embeddings with an application to outlier removal	Shuchi Chawla, K. Sheridan	SODA	ArXiv	2024
Factorization and pseudofactorization of weighted graphs	K. Sheridan, Joseph Berleant, Mark Bathe, Anne Condon, Virginia Vassilevska-Williams	Journal of Discrete Applied Mathematics	ArXiv	2023
Isometric Hamming embeddings of weighted graphs	Joseph Berleant, K. Sheridan, Anne Condon, Virginia Vassilevska-Williams, Mark Bathe	Journal of Discrete Applied Mathematics		2023
Fully Succinct Batch Arguments for NP from Indistinguishability Obfuscation	Rachit Garg, K. Sheridan, Brent Waters, David J Wu	TCC		2022