Our Team
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Lenka Přibylová
is an Associate professor at the Dept. of Mathematics and Statistics at Masaryk University and an active researcher in nonlinear dynamics and leads the team nonlinear dynamics. She gives lectures on bifurcation theory and chaos, and applied nonlinear dynamics in interdisciplinary fields. She is a member of the Analytical Group of the NIZP, a member of the ESMTB, and a member the scientific committee of BISOP. She participated in the project for Monitoring, Analysis, and Management of Epidemic Situations with The Institute of ÚZIS and the European Covid-19 forecast hub under ECDC. She has successfully collaborated with researchers from abroad, recent research with Veronika Eclerová on neuroscience with prof. Milan Brázdil's Research Group, and synchronization in superconducting was published with André Botha, University of South Africa. She published in international journals. She works as supervisor for postdoc and doctoral positions, as well as many Master and Bachelor students. Her postdoc achieved EUROPE HORIZON MSCA PF grant. She is very dedicated to popularization and educational activities for the broad public.
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Veronika Eclerová
is an Assistant professor at the Dept. of Mathematics and Statistics at Masaryk University and an active researcher in nonlinear dynamics. She defended her PhD in 2020 under the supervision of Lenka Přibylová. She participated in the project Monitoring, Analysis, and Management of Epidemic Situations with ÚZIS in cooperation with dr. L. Přibylová. During autumn 2021 she was on internship at the University of Twente under the supervision of prof. H. Meijer, who has almost 20 years long experience in dynamical modelling in neuroscience. Now she is cooperating on neuroscience with prof. Milan Brázdil's Research Group. She also cooperates with prof. A. E. Botha on the application of dynamical modelling, especially synchronizations, in the field of physics. Before her career in academia, she has 9-years of work experience as a consultant, a data analyst and a programmer in the private sector. She is dedicated to popularization activities for the broad public (such as Science festival or Researchers’ night).
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Jakub Záthurecký
is a Lecturer and researcher at Department of Mathematics and Statistics at Masaryk University. During his bachelor’s and master’s degree, he studied algebra and category theory. Now, he is interested in applications of pure mathematics to investigation of differential equations which can be used to describe real-world phenomena such as models in neuroscience.
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Jan Ševčík
defended his thesis with honours in 2026 at the Department of Mathematics and Statistics, Masaryk University, under the supervision of Lenka Přibylová, and received the Dean’s Award. In 2021, he successfully defended his Master's thesis on the synchronization in dynamical systems, which is also closely related to the topic of his doctoral dissertation. Currently, he is interested in studying the emergence of very high-frequency and ultra-fast oscillations in EEG signals of patients with focal epilepsy. He is also devoted to popularization of mathematics to a broad public (Science festival or Researchers’ Night).
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Tomáš Halmazňa
is a PhD student at the Department of Mathematics and Statistics at Masaryk University, holding a Master's degree in Applied Mathematics. His research bridges computational neuroscience and nonlinear dynamics through the lens of numerical optimization. He is particularly interested in data-driven parameter estimation and scientific computing.
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Štěpán Husa
is a PhD student at the Department of Mathematics and Statistics at Masaryk University. His Bachelor's and Master's theses applied singularity theory to dynamical systems, focusing on Arnold tongues. His research interests span nonlinear dynamical systems and singularity theory, with particular attention to the topological and algebraic aspects of such phenomena, e.g. the Morse index. He believes that combining software for visualization, continuation, and computation can reveal hidden aspects of these problems, and devotes considerable time to programming and developing a codebase in support of this research.
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Lucia Kajanová
is a PhD student in Mathematics and Statistics at Masaryk University, joining the Nonlinear Dynamics Team in autumn 2026. Her research interests focus on nonlinear dynamical systems, partial differential equations, and their applications to real-world phenomena, particularly in neuroscience and traffic flow modelling. She is especially interested in travelling waves, bifurcation analysis, numerical methods, and the use of data science and machine learning in mathematical modelling. She enjoys teaching mathematics and is actively involved in science outreach, including the organization of Open Day events and activities promoting mathematics to a wider audience.
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Miroslav Polách
is a doctoral student in nonlinear dynamics at the Department of Mathematics and Statistics at Masaryk University, working under the supervision of Lenka Přibylová. He completed his Master's in Applied Mathematics at the same department, with a thesis on numerical simulations of magnetic states of superparamagnetic nanoparticles carried out at the Institute of Physics of Materials of the Czech Academy of Sciences. His doctoral research concerns topology-induced bifurcation changes in network dynamical systems, focusing on how network rewiring deforms the classical reaction–diffusion bifurcation structure, with the Golubitsky–Stewart coupled-cell formalism as a central theoretical tool. He is drawn to collaborations bridging nonlinear dynamics with applications, including the modelling of belief spread on social networks.
Former members
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Deeptajyoti Sen
is an active researcher in the interdisciplinary area of applied mathematics and works as a postdoctoral fellow at the Department of Mathematics & Statistics, Masaryk University. Particularly, his research area focus on population dynamics, epidemiology, synchronization of coupled systems, pattern formation, and non-linear dynamics. He has recently been awarded the Marie-Curie grant for the postdoctoral position. His current project is "Models with cross interactions between partial dynamical processes aiming to understand significant or abrupt dynamic changes." Also, he has successfully collaborated with researchers from abroad and published his works in reputed international journals, including Scientific reports, Journal of Mathematical Biology, Internatioanl Journal of Bifurcation and Chaos.
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Štěpán Zapadlo
Štěpán Zapadlo is a Master's student at the Department of Mathematics and Statistics at Masaryk University. His successfully defended Bachelor's thesis focused on data-driven techniques for the discovery of dynamical systems from data, mainly applying those procedures to neuroscience models. Now, he is interested in machine-learning algorithms, mathematical optimization and modeling under the supervision of Assoc. Prof. Lenka Přibylová.