Associate Professor
Computer Science and Engineering
University of California, Santa Cruz

akolla@ucsc.edu

Office 345B
Engineering Building 2

Research interests

Spectral graph theory, algorithms, complexity, statistical physics, convex programming, and quantum computing.

I am particularly interested in spectral methods for graph algorithms and in developing techniques that use the full power of graph spectra to address fundamental complexity questions.

Alexandra Kolla outdoors in the snow

I received my PhD from UC Berkeley, advised by Umesh Vazirani. I held postdoctoral positions at the Institute for Advanced Study and Microsoft Research in Redmond. Before joining UCSC, I was a professor at CU Boulder.

Quantum algorithms & optimization

Counting & statistical physics

Ideas, algorithms & discoveries

Research & publications

My work brings together spectral graph theory, algorithms, complexity, statistical physics, convex programming, and quantum computing.

I am particularly interested in spectral methods for graph algorithms, and in developing techniques that use the full power of graph spectra to address fundamental complexity questions.

34 of 34 papers

2026

2024

2023

2022

2020

Spectral Aspects of Symmetric Matrix Signings

With Charlie Carlson, Karthekeyan Chandrasekaran, Hsien-Chih Chang and Naonori Kakimura.

Published in the Journal of Discrete Optimization, Volume 37, 2020. Conference version in Proceedings of MFCS, 2019: 44th International Symposium on Mathematical Foundations of Computer Science.

A Ramsey-Type theorem on the Max-Cut value of d-Regular graphs

With Charlie Carlson, Ray Li, Nitya Mani, Benny Sudakov, Luca Trevisan.

In Proceedings of LATIN 2020.

2019

2018

2017

2016

2014

Unique Games on The Hypercube

With Naman Agarwal, Guy Kindler and Luca Trevisan.

Published in The Chicago Journal of Theoretical Computer Science, 2014.

2013

2011

2010

2008

2007

PhD thesis

Merging Techniques for Combinatorial Optimization: Spectral Graph Theory and Semidefinite Programming

Editorial

Special Section on the Fifty-Ninth Annual IEEE Symposium on Foundations of Computer Science (2018)

With Elette Boyle, Vincent Cohen-Addad, and Mikkel Thorup.

SIAM Journal on Computing 52(6), FOCS18-i (2023). Guest editorial.

Collaborators & community

Students & postdocs

Current students

Former students

Konstantinos Koiliaris

PhD student · UIUC, 2013–2016

Goldman Sachs

David Hannasch

Master’s student · UIUC, 2012–2014

Former postdocs

Ewan Davies

CU Boulder · 2019–2022

Professor, Colorado State University

In the classroom

Teaching at UC Santa Cruz

Courses in algorithms, discrete mathematics, and quantum computing.

Fall 2023

CSE 16

Introduction to Discrete Mathematics

Winter 2023

CSE 102

Introduction to Algorithms

Fall 2022

CSE 109 / PHYS 150

Introduction to Quantum Computing

Spring 2022

CSE 290A

Randomized Algorithms

Winter 2022

CSE 102

Introduction to Algorithms

The research community

Academic service

Program committees

Conference organization

Say hello

Contact

akolla@ucsc.edu ↗

Associate Professor
Computer Science and Engineering
University of California, Santa Cruz

On campus

Office 345B
Engineering Building 2
UC Santa Cruz