Tkacik Group

Theoretical Biophysics and Neuroscience

How do networks built out of biological components – neurons, signaling molecules, genes, or even cooperating organisms – process information? In contrast to engineered systems, biological networks operate under strong constraints due to noise, limited energy, or specificity, yet nevertheless perform their functions reliably. The group uses biophysics and information theory to understand the principles and mechanisms behind this remarkable phenomenon.

How can cells in a multicellular organism reproducibly decide what tissue they are going to become? How do neurons in the retina cooperate to best encode visual information into neural spikes? How does the physics at the microscopic scale, which dictates how individual regulatory molecules interact with each other, constrain the kinds of regulatory networks that are observed in real organisms today, and how can such networks evolve? These are some of the questions addressed by the Tkačik group. About half of their time is dedicated to data-driven projects performed in close collaboration with experimentalists, and half on purely theoretical projects. Their goal is to develop theoretical ideas about biological network function and connect them to high-precision data.

Group Leader

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Current Projects

Visual encoding in the retina | Genetic regulation during early embryogenesis | Collective dynamics | Evolution of gene regulation


Prizak R. 2019. Coevolution of transcription factors and their binding sites in sequence space, IST Austria, 189p. View

Carballo-Pacheco M, Desponds J, Gavrilchenko T, Mayer A, Prizak R, Reddy G, Nemenman I, Mora T. 2019. Receptor crosstalk improves concentration sensing of multiple ligands. Physical Review E. 99(2), 022423. View

Mitosch K, Rieckh G, Bollenbach T. 2019. Temporal order and precision of complex stress responses in individual bacteria. Molecular systems biology. 15(2). View

Petkova MD, Tkacik G, Bialek W, Wieschaus EF, Gregor T. 2019. Optimal decoding of cellular identities in a genetic network. Cell. 176(4), 844–855.e15. View

De Martino D. 2019. Feedback-induced self-oscillations in large interacting systems subjected to phase transitions. Journal of Physics A: Mathematical and Theoretical. 52(4), 045002. View

View All Publications


since 2017 Professor, IST Austria
2011 – 2016 Assistant Professor, IST Austria
2008 – 2010 Postdoc, University of Pennsylvania, Philadelphia, USA
2007 Postdoc, Princeton University, USA
2007 PhD, Princeton University, USA

Selected Distinctions

2018 HFSP Grant
2012 HFSP Grant
2003 Burroughs-Wellcome Fellowship, Princeton University
2002 Golden Sign of the University of Ljubljana

Additional Information

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