Mokos Judit szakmai honlapja

Judit Mokos

Evolutionary and Theoretical Biologist


Currently I am doing: 

  • PhD, Evolutionary and Theoretical Biology, Eotvos Lorand University, Hungary, 2015-
    • Topics: Human behavioural evolution, altruism, cooperation, biostatistics

I learnt already:

  • Bsc, Biology-Literature Teacher, Eotvos Lorand University, Hungary, 2010-2013
    • Thesis: Evolution of HIV’s virulence
    • Topics: informal learning, science communication, evolution of viruses, magic realism in contemporary youth novels
  • Msc, Ecology-, Evolutionary and Conservation Biology, Eotvos Lorand University, Hungary, 2013-2015
    • Thesis: The evolutionary aspects and motivations of human altruistism
    • Topics: human behavior, human evolution, human cooperation, animal cooperation, biostatistics
  • Biologist trainee, University of Bath, Milne Centre for Evolution, UK, 2017
    • Topic: Sex roles and sexual selection: testing evolutionary hypothesis
    • Biostatistics, comparative methods, meta-analyses, behaviour ecology, phylogeny based statistical methods, path analysis, linear models
  • GLM2017VPA: GLM for Evolutionary Ecologist, France, 2017
  • Popular Science Video Workshop, Hungary, 2018
  • High-Dimensional Data Analysis in Ecology and Evolutionary Biology, Lund, Sweden, 2018

I have experiences:

  • Plant Ecologist, Field Surveyor, Danube-Ipoly National Park, Hungary, 2015
  • Teaching Biostatistics and R programmin for undergrads, Eotvos Lorand University, Hungary, 2016-
  • Volunteer-Program Coordinator, Jaffe Family Service, 2010-2017

I can use:

  • Basic statistical methods (for example t-tests, F-tests, One-way and Multiway ANOVA, correlations, simple and multiple linear regressions, Chi-square tests, non-parametric tests, etc)
  • Comparative methods
  • Phylogeny based methods (for example Phylogenetic Generalized Least Squares, Phylogenetic Path Analysis)
  • Meta-analytical methods
  • General Linear Models, Linear Mixed Models, General Linear Mixed Models
  • Receiver Operating Characteristic curve analysis
  • High-Dimensional Data Analysis
  • Visualization


I am proud of: 

  • LifeScience Elevator Speech Festival, 2016: 1st place
  • FameLab Hungary, 2017, finalist

I can speak in: 

  • Hungarian
  • English
  • Spanish (un poco)