20 - 22 November
University of Tasmania, Sandy Bay Campus, Hobart
Workshop on Stochastic and Algebraic Models for Genome Evolution
The 11th annual UTAS (mainly) theoretical phylogenetics meeting
- Professor Nadia El-Mabrouk (Université de Montréal; supported by AMSI/AustMS/AMZIAM)
- Distinguished Professor Seth Sullivant (North Caroline State University; supported by AMSI/AustMS/AMZIAM)
- Dr Sophie Hautpenne (University of Melbourne; supported by ACEMS)
Nadia El-Mabrouk is Full Professor at the Computer Science Department of the University of Montreal. She holds a Ph.D. in theoretical Computer Science from the University Paris VII, obtained in 1996. She is member of the Centre de Recherche Mathematiques and the Robert Cedergren Centre for Bioinformatics and Genomics . Her expertise is in Computational Biology and her research focuses on developing algorithmic and mathematical methods for comparative genomics. She is regularly involved in the program committee of bioinformatics and computational biology conferences such as RECOMB, RECOMB-CG, ISMB, ECCB and WABI. She has published over 70 works including journal articles, refereed conference papers and several book chapters.
Seth Sullivant received his PhD in 2005 from the University of California, Berkeley. After a Junior Fellowship in Harvard's Society of Fellows, he joined the department of mathematics at North Carolina State University in 2008 as an assistant professor. He was promoted to full professor in 2014 and distinguished professor in 2018. Sullivant's work has been honored with a Packard Foundation Fellowship and an NSF CAREER award and he was selected as a Fellow of the American Mathematical Society. He helped to found the SIAM activity group in Algebraic Geometry where he has served as both secretary and chair. Sullivant's current research interests include algebraic statistics, mathematical phylogenetics, applied algebraic geometry, and combinatorics. He has published 55 papers and 2 books in these areas.
Sophie Hautphenne is a Senior Lecturer in Applied Probability at the School of Mathematics and Statistics at The University of Melbourne, a Scientist at the Chair of Statistics in the Swiss Federal Institute of Technology, and an Associate Investigator at the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). Since April 2015, she is holding an ARC Discovery Early Career Researcher Award (DECRA) at the University of Melbourne. Sophie obtained her PhD in Mathematics from the Universite libre de Bruxelles in October 2009. Her fields of research are applied probability and stochastic modelling with a particular focus on branching processes, matrix analytic methods and epidemic models. Sophie is particularly interested in biological and ecological applications.