Hi everyone
Instats is excited to offer a 2-day seminar, Bayesian Phylogenetics with BEAST2, running livestreaming September 18 – 20 and led by Dr Joëlle Barido-Sottani from the Institute of Biology, ENS-PSL, CNRS. Bayesian phylogenetics has transformed evolutionary research by allowing scientists to incorporate prior knowledge, quantify uncertainty, and analyse complex molecular-evolution models in a coherent probabilistic framework. Over two intensive days, Dr Barido-Sottani will guide participants from the theoretical foundations of Bayesian inference to hands-on proficiency with BEAST2—the modular, plugin-driven platform that uses MCMC to sample across tree space and deliver robust divergence-time and parameter estimates. You’ll learn how to specify informative priors, analyse diverse data types such as DNA sequences and traits, conduct thorough post-analysis diagnostics, and interpret posterior distributions with confidence. Whether you are a PhD student, academic, or research professional already familiar with basic phylogenetics, this seminar will equip you with cutting-edge skills to integrate Bayesian workflows into your own evolutionary studies and produce more reliable, publication-ready results.
Sign up today to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
Instats is excited to offer a 2-day seminar, Bayesian Phylogenetics with BEAST2, running livestreaming September 18 – 20 and led by Dr Joëlle Barido-Sottani from the Institute of Biology, ENS-PSL, CNRS. Bayesian phylogenetics has transformed evolutionary research by allowing scientists to incorporate prior knowledge, quantify uncertainty, and analyse complex molecular-evolution models in a coherent probabilistic framework. Over two intensive days, Dr Barido-Sottani will guide participants from the theoretical foundations of Bayesian inference to hands-on proficiency with BEAST2—the modular, plugin-driven platform that uses MCMC to sample across tree space and deliver robust divergence-time and parameter estimates. You’ll learn how to specify informative priors, analyse diverse data types such as DNA sequences and traits, conduct thorough post-analysis diagnostics, and interpret posterior distributions with confidence. Whether you are a PhD student, academic, or research professional already familiar with basic phylogenetics, this seminar will equip you with cutting-edge skills to integrate Bayesian workflows into your own evolutionary studies and produce more reliable, publication-ready results.
Sign up today to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
