/Theme 01
Networks, Trees, and Landscapes
We study the theoretical organising principles that underpin the development of complex multicellular organisms.
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Stochastic and Nonlinear Biological Dynamics
Living systems are complex and their dynamics shaped by the interplay between stochastic and non-linear processes.
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Cell Fates, Cell States, and Cell Maps
We are working on developing mathematical models that allow us to understand how cells make decisions.
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Inverse Problems in Systems Biology
We work on Bayesian and information theoretical approaches to make sense of biological data and turn data into mechanistic understanding.
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Algebraic Perspectives in Biology
Networks and hypergraphs are some of the structures that shape biological systems and data and we are working on new algebraic approaches to understand the organisation of living systems.
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