Antonio Blanca Pimentel

Antonio Blanca Pimentel is an Associate Professor in Computer Science and Engineering. His research focuses on theoretical aspects of computer science, probability theory, and statistical physics, particularly in the development and analysis of algorithms.

His work explores Markov Chain Monte Carlo (MCMC) algorithms, Spin Systems, and Cluster Dynamics, with a strong emphasis on computational complexity and mathematical modeling.

Recent publications highlight his contributions to Potts models, random-cluster dynamics, high-dimensional identity testing, and sampling algorithms for subgraphs and polymer systems. These papers demonstrate his expertise in bridging theoretical computer science with statistical physics.

Dr. Pimentel secured an NSF grant (2019–2021) for research on MCMC algorithms for spin systems, reflecting his leadership in advancing algorithmic theory.