Research Interests
I am broadly interested in complexity theory and its adjacent areas.
Circuit Complexity e.g. Lower bounds for boolean circuits [HRST JACM '17]
Proof Complexity e.g. Lower bounds for propositional proofs [PRST STOC '16, PRT FOCS '21]
Property Testing e.g. Testing monotonicity and juntas [CST FOCS '14, CDST STOC '15, CSTWX JACM '18]
Pseudorandomness e.g. PRGs and high-dimensional geometry [OSTK STOC '20, OST JACM '22]
Learning Theory e.g. Decision tree learning [BLQT JACM '22, KST FOCS '23, KST FOCS '24]
Hardness Amplification e.g. Relationships with boosting [BKST FOCS '23, BHKT FOCS '24]
My work has been recognized with best paper awards at FOCS, CCC, and SAT, an Alfred P. Sloan Fellowship, an NSF CAREER Award, and a Google Research Scholar Award.
Selected recent publications
The sample complexity of smooth boosting and the tightness of the hardcore theorem
Fast decision tree learning solves hard coding-theoretic problems
A strong direct sum theorem for distributional query complexity
Properly learning decision trees with queries is NP-hard
A strong composition theorem for junta complexity and the boosting of property testers
Lifting uniform learners via distributional decomposition
with Guy Blanc, Alexandre Hayderi, and Caleb Koch.
FOCS 2024
Invited to FOCS 2024 special issue
Invited to FOCS 2024 special issue
Fast decision tree learning solves hard coding-theoretic problems
with Caleb Koch and Carmen Strassle.
FOCS 2024
A strong direct sum theorem for distributional query complexity
with Guy Blanc, Caleb Koch, and Carmen Strassle.
CCC 2024
Invited to CCC 2024 special issue
Invited to CCC 2024 special issue
Properly learning decision trees with queries is NP-hard
with Caleb Koch and Carmen Strassle.
FOCS 2023
A strong composition theorem for junta complexity and the boosting of property testers
with Guy Blanc, Caleb Koch, and Carmen Strassle.
FOCS 2023
Lifting uniform learners via distributional decomposition
with Guy Blanc, Jane Lange, and Ali Malik.
STOC 2023
Selected less recent publications
A generalization of the satisfiability coding lemma and its applications
Properly learning decision trees in almost polynomial time
On the power and limitations of branch and cut
Fooling Gaussian PTFs via local hyperconcentration
Fooling polytopes
Settling the query complexity of non-adaptive junta testing
Poly-logarithmic Frege depth lower bounds via an expander switching lemma
An average-case depth hierarchy theorem for Boolean circuits
with Milan Mossé and Harry Sha.
SAT 2022
Best paper award
Best paper award
Properly learning decision trees in almost polynomial time
with Guy Blanc, Jane Lange, and Mingda Qiao.
FOCS 2021
Invited to FOCS 2021 special issue
Journal of the ACM, 2022
Invited to FOCS 2021 special issue
Journal of the ACM, 2022
On the power and limitations of branch and cut
with Noah Fleming, Mika Göös, Russell Impagliazzo, Toni Pitassi, Robert Robere, and Avi Wigderson.
CCC 2021
Invited to CCC 2021 special issue
Invited to CCC 2021 special issue
Fooling Gaussian PTFs via local hyperconcentration
with Ryan O’Donnell and Rocco Servedio, with an appendix by Daniel Kane.
STOC 2020
Journal of the ACM, accepted pending minor revisions
Journal of the ACM, accepted pending minor revisions
Fooling polytopes
with Ryan O'Donnell and Rocco Servedio.
STOC 2019
Invited to STOC 2019 special issue
Journal of the ACM, 2022
Invited to STOC 2019 special issue
Journal of the ACM, 2022
Settling the query complexity of non-adaptive junta testing
with Xi Chen, Rocco Servedio, Erik Waingarten, and Jinyu Xie.
CCC 2017
Best paper award
Invited to the Journal of the ACM
Best paper award
Invited to the Journal of the ACM
Poly-logarithmic Frege depth lower bounds via an expander switching lemma
with Toniann Pitassi, Benjamin Rossman, and Rocco Servedio.
STOC 2016
Invited to STOC 2016 special issue
Invited to STOC 2016 special issue
An average-case depth hierarchy theorem for Boolean circuits
with Benjamin Rossman and Rocco Servedio.
FOCS 2015
Best paper award
Invited to the Journal of the ACM
Best paper award
Invited to the Journal of the ACM
Click here for the list of all publications.