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Dr. Daniel Romero Mujalli

Dr. rer. nat. Daniel Romero Mujalli

Research interests


Hello! I'm a Biologist very much interested in eco-evolutionary modelling, programming and in the use of machine learning techniques for my research and data analysis.


My research interest is mainly the study of eco-evolutionary dynamics, the understanding of evolutionary mechanisms, their limits and effects on evolvability; how novelty arises and spread as innovations, the identification of conditions promoting population persistence, and the application of scientific knowledge across disciplines. I like to approach my research questions from an interdisciplinary point of view, which includes (among other fields) working with electronic engineers. In my research I have developed agent-based models and used machine learning techniques for the study of adaptive systems and eco-evolutionary dynamics to understand organisms’ responses to their environment and its changes.


Currently, I am working on the evolution of language, using machine learning models for the analysis of animal vocalizations.


Daniel Romero Mujalli in ResearchGate; in GitHub; personal blog

    Dr. rer. nat. Daniel Romero Mujalli

    Professional and scientific career

    2019 – Current

    Post-doc at the Institute of Zoology, University of Veterinary Medicine Hannover


    2015 – 2019

    Ph.D. studies and thesis (Dr. rer. nat.) at the University of Potsdam: Ecological modelling of adaptive evolutionary responses to rapid climate change. 1st supervisor: Prof Dr Ralph Tiedemann; 2nd supervisor: Prof Dr Florian Jeltsch. External referees: Prof Dr F. J. Weissing (University of Groningen), and PD Dr Thomas Hovestadt (University of Würzburg)


    2013 – 2014

    Pre-doctoral researcher, Helmholtz Centre for Ocean Research Kiel GEOMAR, Kiel, Germany.

    Biogeochemical modeling research group. Supervisor: Prof. Dr. Andreas Oschlies



    2010 – 2013

    MSc. in Biological Sciences at the Simon Bolivar University, Venezuela. Thesis: Adaptive value of social learning in static and dynamic environments. 1st supervisor: MSc. Jose Cappelletto; 2nd supervisor: Prof. Dr. Emilio Herrera


    2002 – 2009

    Dipl. in Biology at the Simon Bolivar University, Venezuela. Thesis: Whistle characterization of bottlenose dolphins, Tursiops truncatus, in the coast of Aragua state, Venezuela. Supervisor: Prof Dr Guillermo Barreto

    Awards & grants


    Magna cum laude (PhD) University of Potsdam, Germany


    2015 – 2018

    PhD scholarship at the University of Potsdam, Germany



    Internship award RESPONSE exchange grants, University of Greifswald, supervisor: Prof Dr. Gerald Kerth.



    Master thesis work Passed-Outstanding, Simon Bolivar University, Venezuela



    Grant award from Cetacean Society International CSI


    Romero-Mujalli D, Jeltsch F, Tiedemann R (2019) Elevated mutation rates are unlikely to evolve in sexual species, not even under rapid environmental change. BMC Evolutionary Biology Journal. 19(1):175. doi: 10.1186/s12862-019-1494-0


    Romero-Mujalli D, Jeltsch F, Tiedemann R (2018) Individual-based modeling of eco-evolutionary dynamics: state of the art and future directions. Reg Environ Change. doi: 10.1007/s10113-018-1406-7


    Romero-Mujalli D, Cappelletto J, Herrera EA, Tárano Z (2017) The effect of social learning in a small population facing environmental change: an agent-based simulation. J Ethol 35:61–73. doi: 10.1007/s10164-016-0490-8


    Romero-Mujalli D, Tárano Z, Cobarrubia S, Barreto G (2014) Characterization of the whistles of Tursiops truncatus (Cetacea: Delphinidae) and their association with surface behavior. Argent J Behav Sci 6:15–29


    Romero-Mujalli D, Tárano Z (2012) Social learning and its feasibility as a form of inheritance. MIBE 6:97-100

    Further scientific activities


    Reviewer (2 reviews), Ecological Modelling (ELSEVIER Journals)



    Lecturer, summer semester at Potsdam University on eco-evolutionary modelling using
    IBMs. Supervisor: Prof. Dr. Ralph Tiedemann



    Internship mechatronic laboratory, Simon Bolivar University, Venezuela. Supervisor: MSc Jose Cappelletto

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