Summary
Sebastian Duchene is a computational biologist and group leader specializing in infectious disease genomics, with 11 years’ experience applying Bayesian inference and MCMC to virus and bacterial genome data. Based in Paris and formerly leading a high-impact team at the Doherty Institute, he has authored 85 peer-reviewed articles (H-index 35) and secured over $3.5M AUD in competitive funding to drive genomic surveillance and policy-relevant analyses of SARS-CoV-2. He codes primarily in R (with Python and Bash), develops scalable phylodynamic methods on HPC, and routinely translates technical results into reports and media-visible findings that have informed national responses. As an associate editor at Virus Evolution and a leader at Institut Pasteur, he blends hands-on computational method development with team leadership and science communication, and has a track record of early, influential estimates of viral evolutionary rates and variant emergence.
11 years of coding experience
The University of Sydney
English, French, Spanish