Emergent phenomena in biological and artificial systems, focusing on self-organization, group dynamics and decision-making in social and group-living organisms.
Nonlinear dynamical systems, pattern formation, stochastic simulations and mathematical models of biological phenomena.
Computer vision and deep learning methods for automated detection, classification and tracking of individuals in video recordings of behavioral experiments.
Statistical methods and data-driven approaches for the analysis of experimental and observational data in biological systems.
daphnia
tuna
shadowgraph
woodlice
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Interactive probability calculator for binomial distributions
Monte Carlo simulation of collective aggregation behavior
Simulation of decision-making in collective systems
Permutation test for co-occurrence
