Michael C. Cranston

Michael Cranston is Professor of Mathematics at UC Irvine's Department of Mathematics, specializing in probability theory and stochastic processes. His research bridges mathematical physics and statistical mechanics.

Key contributions include developing solvable models for homopolymer behavior near critical points, analyzing Lyapunov exponents in parabolic Anderson models, and studying dispersion in Kolmogorov flows. Recent work explores phase transitions in polymer systems using probabilistic methods.

He regularly teaches graduate courses on stochastic processes and maintains active collaborations with researchers in applied mathematics.