Michael Cranston

Michael Cranston is a Professor in the Department of Mathematics at the University of California, Irvine. His research focuses on probability theory, stochastic processes, and mathematical physics, with emphasis on stochastic flows, the parabolic Anderson model, and polymer models. He has held academic positions at the University of Rochester and visiting roles at institutions worldwide, including EPFL, Université Paris VI, and the Max Planck Institute.

Education:

• B. Math., University of Minnesota, 1974
• Ph.D., University of Minnesota, 1980

Research Interests: Cranston’s work spans stochastic analysis, including dispersion in turbulent flows, Lyapunov exponents in random media, and phase transitions in polymer models. His recent papers address topics like homopolymer self-similarity, quenched-annealed transitions, and large deviation principles in disordered systems.

Professional Experience:

• Professor, UC Irvine (2004–present)
• Professor, University of Rochester (1992–2004)
• Visiting Professorships at UCLA, University of Washington, and others

Grants & Advising: No specific grants or advisees listed in the provided texts.