My work focuses on probabilistic models in mathematical biology. I am mostly interested in models studying the effect of selection and the resulting consequences for the associated genealogies. This includes processes in random or varying environments as well as populations with highly skewed offspring distributions.
Preprints:
- F. Boenkost, K. A. Khudiakova and J. Tourniaire: Reduction of the effective population size in a branching particle system in the moderate mutation-selection regime, https://arxiv.org/abs/2404.17527
- M. Birkner, F. Boenkost, I. Dahmer and C. Pokalyuk: On the fixation probability of an advantageous allele in a population with skewed offspring distribution, https://arxiv.org/abs/2310.09045
- F. Boenkost, F. Foutel-Rodier and E. Schertzer: The genealogy of nearly critical branching processes in varying environment,https://arxiv.org/abs/2207.11612
- F. Boenkost and G.Kersting: Haldane’s asymptotics for Supercritical Branching Processes in an iid Random Environment, submitted https://arxiv.org/abs/2109.10684
Publications:
- F. Boenkost, A. González Casanova, C. Pokalyuk and A. Wakolbinger: Haldane’s formula in Cannings models: The case of moderately strong selection, J. Math. Biol., 83 (70), 2021 Article
- F. Boenkost, A. González Casanova, C. Pokalyuk and A. Wakolbinger: Haldane’s formula in Cannings models: The case of moderately weak selection, Electron. J. Probab., 26 (4), 2021 Article