Medical University of Vienna & CSH Associate Faculty
Leonhard Horstmeyer works on coarse grained descriptions of stochastic network dynamical systems with a focus on precursors of critical transitions. He also investigates moment closure techniques and closure measures for the dimensional reduction of stochastic dynamical systems.
Leonhard is currently a postdoc in Stefan Thurner’s group. He has written his PhD thesis on the dimensional reduction of smooth dynamical systems under the supervision of Professor Jost at the Max Planck Institute for Mathematics in the Sciences. Previously he studied at Imperial College London and obtained a master in theoretical and mathematical physics from the LMU and TU Munich and a master in mathematics from the University of Cambridge.
A. Chakraborty, J. Chen, A. Desvars-Larrive, P. Klimek, E. Tames, D. Garcia, L. Horstmeyer, M. Kaleta, J. Lasser, J. Reddish, B. Pinior, J. Wachs, P. Turchin
Analyzing Covid-19 data using SIRD models
(in review) (2020) https://doi.org/10.1101/2020.05.28.20115527
L. Horstmeyer, C. Kuehn
An adaptive voter model on simplicial complexes
Phys. Rev. E 101 (2020) 022305
“Novel insights into the precursor theory of adaptive networks”
Sep 28, 2018 | 15:45—16:00
“Precursor theory for complex adaptive networks”
Sep 03, 2018 | 12:00—12:30
“Analytical Approach to epidemics in adpative networks”
Jun 15, 2018 | 11:00—12:00