Erik Volz

Erik Volz is an Associate Professor in the School of Public Health at Imperial College London's Faculty of Medicine. His research bridges epidemiological dynamics and microbial evolution, focusing on population genetic theory, statistical inference from pathogen genetic data, and phylodynamic methods for outbreak detection and epidemic forecasting.

Key contributions include developing open-source software tools such as PhyDyn (Bayesian epidemic modeling), treedater (molecular clock estimation), mlesky (population size inference), treestructure (outbreak detection), and Coalescent.jl (phylogenetic simulation). His work supports global public health initiatives like the UK COVID-19 Genomics Consortium and WHO SARS-CoV-2 monitoring.

Fields of study:

• Infectious disease modeling
• Pathogen genomics
• Network epidemiology
• Computational phylogenetics
• Public health analytics