
About
Dr. Andreas Galanis is an Associate Professor in Computer Science at the University of Oxford, where he serves as a Tutorial Fellow at Hertford College. He earned his PhD from Georgia Tech University in 2015 with a focus on Algorithms, Combinatorics, and Optimization.
Research Interests: His work bridges approximate counting/sampling problems in computer science and phase transitions in statistical physics, with a strong emphasis on the computational complexity of partition functions, stochastic processes, and spin systems.
Recent Publications: His research spans approximate counting algorithms (ICALP 2019, APPROX/RANDOM 2019), hardness results in Potts and random-cluster models (Electronic Journal of Probability 2018, APPROX/RANDOM 2018), and theoretical insights into correlation decay and spatial mixing (SIAM Journal on Computing 2019).
Scientific Awards:
- Best Paper Award, ICALP 2016
Collaborations: He frequently collaborates with researchers like Leslie A. Goldberg and Eric Vigoda on topics involving Markov chains, graph theory, and computational complexity.
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