معرفی
Timothy Vaughan serves as a Lecturer at the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zurich, where he is an active member of Prof. Tanja Stadler's Computational Evolution research group. Since joining ETH Zurich in mid-2017 as a Senior Scientist, he has been instrumental in advancing computational and statistical methodologies for Bayesian phylogenetic and phylogenomic inference.
His academic journey began at the University of Queensland, Australia, where he completed both his undergraduate and doctoral studies in theoretical and computational physics, culminating in a PhD in 2008 under the supervision of Prof. Peter Drummond and Karen Kheruntsyan. His doctoral research focused on the theory of ultracold atomic gases and Bose-Einstein Condensation.
- Postdoctoral research at Swinburne University of Technology (2009) applying statistical mechanics to stochastic viral infection dynamics.
- Subsequent postdoctoral work at the University of Auckland and Massey University (2012) developing Bayesian phylogenetic methods for pathogen dynamics.
Dr. Vaughan's research expertise spans computational evolution, phylogenetics, Bayesian statistics, and pathogen dynamics. He has developed specialized software for stochastic population dynamics simulation, ancestral spatial dynamics inference, and phylogenetic analysis of recombining bacterial populations. His work integrates genomic data with traditional epidemiological data to infer epidemic prevalence curves.
He is actively involved in the development of the BEAST 2 phylogenetic inference platform and welcomes inquiries from prospective Master's and PhD students interested in computational biology and evolution.
Based at the D-BSSE in Basel, Switzerland, Dr. Vaughan collaborates within the Computational Evolution group to tackle complex problems in evolutionary biology and epidemiology using cutting-edge computational approaches.
