Classical Algorithms for Bipartite Quantum Max-Cut on Dense Expanders
Preprint, arXiv:2610.03670 (2026).
Associate Professor
Computer Science and Engineering
University of California, Santa Cruz
Office 345B
Engineering Building 2
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.

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.
Preprint, arXiv:2610.03670 (2026).
Quantum 10, 2088 (2026).[arXiv]
Preprint, arXiv:2309.10957 (2023). Presented as a poster at QIP 2024.
Preprint, arXiv:2304.08420 (2023). Presented as a poster at QIP 2024.
ICALP 2024, LIPIcs 297, 35:1–35:18.[arXiv]
Combinatorics, Probability and Computing 33(4), 487–517 (2024). Conference version: FOCS 2022.[arXiv]
Chicago Journal of Theoretical Computer Science, 2024, Article 1, 1–31.[arXiv]
Ideas, algorithms & discoveries
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
Preprint, arXiv:2610.03670 (2026).
Quantum 10, 2088 (2026).
ICALP 2024, LIPIcs 297, 35:1–35:18.
Combinatorics, Probability and Computing 33(4), 487–517 (2024). Conference version: FOCS 2022.
Chicago Journal of Theoretical Computer Science, 2024, Article 1, 1–31.
Preprint, arXiv:2309.10957 (2023). Presented as a poster at QIP 2024.
Preprint, arXiv:2304.08420 (2023). Presented as a poster at QIP 2024.
In Proceedings of the 54th Annual ACM Symposium on Theory of Computing (STOC), 2022.
In Proceedings of the Computational Complexity Conference (CCC), 2020.
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.
In Proceedings of LATIN 2020.
Published at SIDMA, Volume 33, Issue 3, 2019.
In Proceedings of MFCS, 2019: 44th International Symposium on Mathematical Foundations of Computer Science.
In SODA, 2019.
To Appear, Journal of International Mathematics Research Notices, 2018.
ICALP, 2018.
RANDOM, 2017.
ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis 2016 (SC'16).
SODA, 2016.
Book chapter in the book ``Compressed Sensing and its Applications'', Birkhauser; Auflage, 2016.
Published in The Chicago Journal of Theoretical Computer Science, 2014.
Short Paper, SIGMETRICS 2014.
Submitted, 2014.
NSDI 2014.
Manuscript, 2013.
Published in the Special Issue of the Journal of Theory of Computing, 2013. Appeared on popular mathematics blog.
CCC 2010. Invited to CCC 2010 journal, Special Issue.
STOC 2010.
STOC 2008.
ICALP 2008, BEST PAPER AWARD FOR TRACK C.
Manuscript, 2007.
QIC Journal, 2007.
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Special Section on the Fifty-Ninth Annual IEEE Symposium on Foundations of Computer Science (2018)
SIAM Journal on Computing 52(6), FOCS18-i (2023). Guest editorial.
Collaborators & community
PhD candidate · UC Santa Cruz
2022–present
PhD student · UC Santa Cruz
2022–present
PhD · UC Santa Cruz, 2026
Now at Atom Computing
PhD · CU Boulder, 2023
Assistant Professor, University at Buffalo
Research assistant · 2015–2017
PhD student · UIUC, 2013–2016
Goldman Sachs
Master’s student · UIUC, 2012–2014
Google Research
Master’s student · UIUC, 2012–2014
UC Santa Cruz · 2023–2025
Assistant Professor, Colorado State University
CU Boulder · 2019–2022
Professor, Colorado State University
CU Boulder · 2019–2022
CU Boulder · 2019–2021
UIUC · 2015–2017
In the classroom
Courses in algorithms, discrete mathematics, and quantum computing.
Fall 2023
CSE 16
Winter 2023
CSE 102
Fall 2022
CSE 109 / PHYS 150
Spring 2022
CSE 290A
Winter 2022
CSE 102
The research community
Say hello
Associate Professor
Computer Science and Engineering
University of California, Santa Cruz