Professor Beatrice Pelloni officially begins her full time position as Head of the School of Mathematical and Computer Sciences this semester. She joined us earlier this year on a part time basis from the University of Reading, where she was co-Director of the EPSRC Centre for Doctoral Training Mathematics of Planet Earth since 2014. She was previously Head of the Department of Mathematics and Statistics. Professor Pelloni studied for her BA in Mathematics at the University of Rome, then her MPhil and PhD in Mathematics at Yale University.
Also joining Beatrice in MACS, and the Maxwell Institute, this semester are
Dr Laura Ciobanu
Laura joins us as Assistant Professor of Mathematics from the University of Neuchâtel, Switzerland. After receiving her PhD in mathematics from Rutgers University in New Jersey in 2005, she worked as a postdoc at the CRM in Barcelona and University of Auckland in New Zealand before spending 5 years as a lecturer at the University of Fribourg, Switzerland. Laura's research interests include group theory, combinatorics and theoretical computer science.
Dr Mathias Fahrenwaldt
Matthias joined us on 1 April as Assistant Professor of Actuarial Science from the University of Hannover, Germany. From January to March 2016 he was Visiting Professor at the Mathematics Department of the University of Copenhagen. Having received his PhD in noncommutative geometry from the University of Muenster, Germany, in 2002 he spent eight years as a management consultant with KPMG and McKinsey. His research interests include life insurance and more recently cyber insurance. He is also interested in analytic methods to investigate stochastic processes.
Marcelo was awarded his PhD from University of Toulouse, France in 2012 and initially joins us as a visiting scholar from the University of Bristol, where he holds a Marie Curie Intra-European Fellowship for Career Development. From January 2017 Marcelo will join us as Assistant Professor of Statistics. His research interests include Bayesian analysis and computation for imaging inverse problems, particularly new stochastic simulation and optimisation approaches that combine convex optimisation and high-dimensional MCMC sampling.
7th September 2016