Summary
Jaime De La Torre is an Associate Professor based in Madrid with over a decade of experience in soft matter, statistical mechanics, and computational physics. He develops and teaches numerical methods and mathematical models for stochastic differential equations, with a research focus on coarse-graining techniques to derive tractable mesoscopic dynamics. Holding a Ph.D. in Science from UNED, he combines rigorous theory with practical algorithm development and efficient simulation strategies. Jaime’s academic trajectory spans roles from PhD fellow to faculty, reflecting deep commitment to both research and student training in computational and dynamical systems. His work is notable for pairing abstract statistical-mechanical ideas with implementable computational workflows that accelerate simulations of complex materials.
10 years of coding experience
University of Seville
Doctor of Philosophy (Ph.D.), Science, Doctor of Philosophy (Ph.D.), Science at Universidad Nacional de Educación a Distancia - U.N.E.D.
Spanish, English, French, German