Summary
Ed Cohen is a Reader in Statistics and Joint Director of the EPSRC Centre for Doctoral Training in Statistics and Machine Learning, combining eight years of academic leadership with a longer track record in signal and image analysis. He develops statistical methodology for temporal, spatial and spatio-temporal point processes on complex domains—networks and manifolds—and applies these tools to time series, change-point detection and online estimation. His work is motivated by engineering and natural science problems, with a particular specialty in biological and single-molecule imaging. Prior roles bridging industry and academia include signal processing research for defence systems and postdoctoral research in microscopy, giving him rare applied depth alongside theoretical expertise. Based in London, he holds a PhD in Mathematics from Imperial and is known for translating sophisticated probabilistic ideas into practical algorithms used in real-world imaging and sensing applications.
8 years of coding experience
2 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at Imperial College London
MPhys, Mathematics and Physics, MPhys, Mathematics and Physics at University of Warwick