Dr. Michael Faulkner

Biography

Michael Faulkner is an Assistant Professor at the University of Warwick, where he focuses on predictive modelling and scientific computing. He completed his PhD at University College London and Ecole normale supérieure de Lyon from 2011 to 2015, co-supervised by Steve Bramwell and Peter Holdsworth. Following his PhD, he secured a postdoctoral research fellowship with EPSRC, during which he held teaching positions at the University of Bristol. Faulkner also worked as a visiting scientist at the Ecole normale supérieure in Paris and received a research fellowship from the Max Planck Institute for the Physics of Complex Systems. His primary research interest lies in computational statistical physics, specializing in emergent electrostatics, slow mixing, and correlated dynamics. He has made significant contributions towards understanding the Berezinskii-Kosterlitz-Thouless phase transition, and his work on molecular simulations in soft-matter physics emphasizes electrostatics and precision numerical stability. Faulkner has developed algorithms for sampling and exploring correlated dynamics in statistical physics, bridging concepts between statistical methods and machine learning. He is engaged in developing new courses and providing mentorship at the University of Warwick, emphasizing advanced simulation algorithms and mathematical methods in scientific inquiry.

Research Interests

Experience