András HUBAI

assistant research fellow
hubai.andras [at]
Brief description of the main scopes: 

The emergence and survival of biological information
1. The emergence of genetic information at the dawn of life.
Designing an artificial chemistry, based on intramolecular interactions, with a sequence-function mapping. Measuring the density of functions in the sequence space and assessing the probability of percolation. Can chemical organization be reached via random walks?
2. The survival of genetic information at the origins of life - cf. Eigen's paradox.
Assessing the information integrating capability of the 'stochastic corrector' and 'package' models. Adjusting the parasite load of different models that build on multilevel selection to make them comparable.
3. The survival of behavioral information and the paradox of learning:
behavior that is deleterious in the long run may spread, and even fixate, in the population. Investigating learning (or rather: non-learning) strategies that can help avoid this evolutionary trap.

Main profile in keywords: 
origins of life, self-organization, information, learning
Selected publications:


B Oborny, V Benedek, P Englert, M Gulyás, AG Hubai (2017): The plant in the labyrinth: adaptive growth and branching in heterogeneous environments Journal of theoretical biology 412, 146-153
Z Merényi, T Varga, AG Hubai, P Pitlik, Á Erős, JM Trappe, Z Bratek (2017): Challenges in the delimitation of morphologically similar species: a case study of Tuber brumale agg. (Ascomycota, Pezizales) Mycological Progress 16 (6), 613-624


AG Hubai, Á Kun (2016): Maximal gene number maintainable by stochastic correction–The second error threshold Journal of theoretical biology 405, 29-35


B Oborny, AG Hubai (2014): Patch size and distance: modelling habitat structure from the perspective of clonal growth Annals of botany 114 (2), 389-398