Peter Johnson

Peter Johnson is a Lecturer in Financial Mathematics at The University of Manchester, Department of Mathematics. His research focuses on areas such as financial mathematics, probability, and stochastic processes. He has contributed to various academic publications, including work on optimal detection problems and stochastic calculus. Johnson's research interests include Bayesian methods, Brownian motion, and sequential testing. His work has been published in journals such as Mathematical Finance and Stochastic Processes and their Applications. He is also involved in collaborative projects and has a profile page at https://research.manchester.ac.uk/en/persons/peter-johnson.

Peter Johnson is a Teaching Fellow at The University of Manchester, specializing in Applied Probability and Financial Mathematics. His research focuses on optimal detection problems, sequential testing, and Bayesian changepoint detection, with applications in financial modeling and real-time data analysis. Johnson's work includes studies on Bessel processes, Brownian motion with random drift, and the regulation of biological systems through stochastic processes. His publications address challenges in detecting changes in dynamic systems, contributing to both theoretical and applied aspects of probability and statistics. His research bridges mathematical theory with practical applications in finance and biological modeling.