Summary
Guy Baele is an Associate Professor at KU Leuven with 15 years of experience developing Bayesian phylogenetic and phylodynamic models to trace pathogen spread in space and time. His work couples computationally tractable statistical methods with high-performance inference techniques (including interest in Hamiltonian Monte Carlo and GPU acceleration) to extract epidemiological insight from large viral genome datasets. He led and contributed to major projects on viral spread—applying methods during the SARS-CoV-2 pandemic and earlier work on Ebola, influenza, rabies and HIV—and maintains a comprehensive publication record. A seasoned educator, he teaches bioinformatics, programming and pandemic preparedness to diverse master’s programs, and has held visiting appointments at UCLA, NYU Langone and Edinburgh. Less obvious: his background spans computer science and biotechnology (MSc cum laude, PhD), enabling a rare blend of algorithmic rigor and biological insight in infectious disease modelling.
14 years of coding experience
2 years of employment as a software developer
PhD, Biotechnology, PhD, Biotechnology at Ghent University
Latin Mathematics, Latin Mathematics at College OLV Deinsbeke Zottegem
Dutch, English, French