Sie sind hier: Startseite Group members Lorenzo Contento

Lorenzo Contento



Endenicher Allee 64, 53115 Bonn, Germany

📞  +49 (0) 228 73 62246

✉   [Email protection active, please enable JavaScript.]

Short CV

Lorenzo Contento obtained his Master's degree in Mathematics from the University of Udine (Italy) in 2012. He was awarded his PhD from Meiji University (Tokyo, Japan) in 2013; his thesis, supervised by Prof. Masayasu Mimura and Prof. Danielle Hilhorst (CNRS / ParisSud Univ.), focused on two-dimensional traveling waves and pattern formation observed in a three-species competition-diffusion system. He then spent four years as a postdoctoral fellow at MIMS (Meiji Institute for the Advanced Study of Mathematical Science), where he continued his research on mathematical modeling, pattern formation and competitive exclusion, particularly in reaction-diffusion models of ecological species interaction. Since April 2020 he is a postdoc in Prof. Hasenauer's lab at the University of Bonn, where he is working mainly on compartmental ODE modeling for the Covid-19 epidemic (in the context of the greater KoCo19 project) and analysis of highly multiplexed cell-resolution images acquired via the CODEX fluorescence imaging technique.


    • L. Contento, M. Mimura. Complex pattern formation driven by the interaction of stable fronts in a competition-diffusion system. Journal of Mathematical Biology 80, pp 303–342, Jan 2020
    • L. Contento, D. Hilhorst, M. Mimura. Ecological invasion in competition-diffusion systems when the exotic species is either very strong or very weak. Journal of Mathematical Biology 77(5), pp 1383–1405, Nov 2018
    • L. Contento, M. Mimura, M. Tohma. Two-dimensional traveling waves arising from planar front interaction in a three-species competition-diffusion system. Japan Journal of Industrial and Applied Mathematics 32(3), pp 707–747, Nov 2015
    • L. Contento, A. Ern, R. Vermiglio. A linear-time approximate convex envelope algorithm using the double Legendre–Fenchel transform with application to phase separation. Computational Optimization and Applications 60(1), pp 231–261, Jan 2015