Michael Murillo is a professor in computational mathematics, science and engineering at Michigan State University with over two decades of experience in theoretical and computational physics, notably at Los Alamos National Laboratory. His research centers on non-ideal plasmas—from ultra-cold and dusty plasmas to dense plasma molecular dynamics—combining analytical theory with large-scale simulation methods. Recently he has extended his modeling expertise into epidemiology and viral kinetics, studying antiviral strategies for influenza at epidemic and pandemic scales. Trained as a physicist (PhD, Rice) with an electrical engineering undergraduate background, he bridges rigorous physical modeling and applied computational science to tackle complex, cross-disciplinary problems. An active recruiter of graduate and postdoctoral researchers, he brings deep domain knowledge and a knack for translating plasma-physics techniques to biological and public-health modeling.
10 years of coding experience
22 years of employment as a software developer
Summer School, Complex Systems, Summer School, Complex Systems at Santa Fe Institute
PhD, Physics, PhD, Physics at Rice University
BS, Electrical Engineering, BS, Electrical Engineering at The University of New Mexico
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