Ed Cohen

Ed Cohen is an Associate Professor in Statistics at Imperial College London's Department of Mathematics (Faculty of Natural Sciences). His research focuses on statistical methodologies for analyzing signals and images, including point processes, time series analysis, and change-point detection. Applications span biological imaging, networks, and manifold-based domains. He leads the EPSRC Centre for Doctoral Training in Statistics and Machine Learning (StatML) and contributes to the EPSRC NeST Programme. His work integrates mathematical theory with computational tools for microscopy data analysis and interdisciplinary collaborations.

Education & Professional Roles:

• Joint Director, EPSRC StatML CDT (Imperial/Oxford)
• Investigator, EPSRC NeST Programme
• Associate Editor, Statistics and Computing
• Vice-Chair, Royal Statistical Society's Emerging Applications Section

Research Interests:

• Statistical methods for spatial and temporal data
• Bioimaging applications (e.g., super-resolution microscopy)
• Network analysis and community detection
• Bayesian online estimation and changepoint detection
• Interdisciplinary projects in neuroscience and microbiology

PhD Opportunities: Current openings focus on computational/statistical methods for neuronal protein organization using microscopy data, with collaboration between Imperial College London and Bordeaux's Institute of Interdisciplinary Neuroscience.

Labs & Teams: Active in Mathematics in Medicine and Time Series/Signal Processing groups at Imperial, contributing to collaborative projects bridging statistics, computer science, and biology.