I am a Senior Lecturer in the School of Mathematics and Statistics at the University of Melbourne since 2017.
Between 2015 and 2019 I was a research fellow on an ARC Discovery Early Career Researcher Award (DECRA), and during that period I was also holding a part-time position as a Scientist in the Chair of Statistics, Swiss Federal Institute of Technology in Lausanne (EPFL, until October 2018).
I obtained a PhD in Mathematics from the Universite libre de Bruxelles in October 2009.
My fields of research are applied probability and stochastic modelling with a particular focus on branching processes, matrix analytic methods, epidemic models, and queueing models. I am particularly interested in applications in population biology and ecology.
Modelling of epidemics
PhD in Mathematics
Invited talks, refereed proceedings and other conference outputs
Hautphenne, S., & Latouche G.
(2016). Lyapunov exponents for branching processes in a random environment: The effect of information. Journal of Statistical Physics. 163(2), 393-410. doi: 10.1007/s10955-016-1474-3
Hautphenne, S., & Haviv M.
(2015). THE BIAS OPTIMAL K IN THE M/M/1/K QUEUE: AN APPLICATION OF THE DEVIATION MATRIX. Probability in the Engineering and Informational Sciences. 30(01), 61-78. doi: 10.1017/S0269964815000285
Hautphenne, S., Krings G., Delvenne J-C., & Blondel V. D.
(2015). Sensitivity analysis of a branching process evolving on a network with application in epidemiology. Journal of Complex Networks. 3(4), 606-641. doi: 10.1093/comnet/cnv001