Bence Mélykúti Twitter | Blog | Personal pages | Magyar
ben-tse may-koo-ty, | Email: | LaTeX: M\'elyk\'uti
The lack of research funding or a suitable job offer forced me to abandon my academic career. You are still very welcome to build on my research results.
Research interests:
The interfaces of mathematical (esp. probabilistic) modelling, stochastic processes, statistics, machine learning, chemical reaction kinetics, systems biology, control theory, operations research. I seek novel possibilities how these can be applied to develop quantitative methods for research in the life sciences. I'm also interested in making a positive societal impact with my research, and I'm open to being contacted with interesting project ideas for consultation.
Previous appointments: Education:


  1. Felix Beck, Bence Mélykúti
    Parameter estimation in a subcritical percolation model with colouring
    Stochastics: An International Journal of Probability and Stochastic Processes, 91(5), 657–694, 2019. External link (open access) | PDF | arXiv:1604.08908 [math.ST], 2017. External link | Software
  2. Bence Mélykúti, Peter Pfaffelhuber
    The stationary distribution of a Markov jump process glued together from two state spaces at two vertices
    Stochastic Models, 31(4), 525–553, 2015. External link | PDF | arXiv:1401.6400 [math.PR], 2015. External link
  3. Bence Mélykúti, João P. Hespanha, Mustafa Khammash
    Equilibrium distributions of simple biochemical reaction systems for time-scale separation in stochastic reaction networks
    Journal of the Royal Society Interface, 11(97), 20140054, 2014. External link (open access) | PDF, S1 (PDF), S2 (Mathematica notebook), S3 (Mathematica notebook)
  4. Bence Mélykúti, Kevin Burrage, Konstantinos C. Zygalakis
    Fast stochastic simulation of biochemical reaction systems by alternative formulations of the chemical Langevin equation
    Journal of Chemical Physics, 132, 164109, 2010. External link | PDF
  5. Bence Mélykúti, Elias August, Antonis Papachristodoulou, Hana El-Samad
    Discriminating between rival biochemical network models: three approaches to optimal experiment design
    BMC Systems Biology, 4:38, 2010. External link (open access) | PDF
  6. István Miklós, Bence Mélykúti, Krister Swenson
    The metropolized Partial Importance Sampling MCMC mixes slowly on minimum reversal rearrangement paths
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, 7(4), 763–767, 2010. External link 1 | External link 2

Doctoral thesis, MSc dissertation and longer papers