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I am interested combinatorics, computational complexity and stochastic processes. All of these ingredients come together in the study of randomised algorithms: computational procedures that exploit the surprising power of making random choices. A strong theme in this work is the analysis of the mixing time of combinatorially or geometrically defined Markov chains. More generally, I work on the computational complexity of counting problems, including weighted counted problems as exemplified by partition functions and generating functions. Statistical physics, Constraint Satisfaction Problems and graph polynomials provide a rich source of motivating examples.
I am interested combinatorics, computational complexity and stochastic processes. All of these ingredients come together in the study of randomised algorithms: computational procedures that exploit the surprising power of making random choices. A strong theme in this work is the analysis of the mixing time of combinatorially or geometrically defined Markov chains. More generally, I work on the computational complexity of counting problems, including weighted counted problems as exemplified by partition functions and generating functions. Statistical physics, Constraint Satisfaction Problems and graph polynomials provide a rich source of motivating examples.
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CoRR (2024)
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Discrete & Computational Geometryno. 3 (2022): 975-990
SIAM J Computno. 4 (2021): 1280-1295
The Electronic Journal of Combinatoricsno. 1 (2021)
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