Bence Mélykúti Twitter | Blog | Personal pages | Magyar
ben-tse may-koo-ty, | Email: | LaTeX: M\'elyk\'uti
Currently, I'm an AXA Research Fund postdoctoral fellow. I'm based at the Centre for Biological Systems Analysis (ZBSA) and tangentially at the Department of Mathematical Stochastics, both at the University of Freiburg, Germany. I work with Prof. Peter Pfaffelhuber. I was visiting the Isaac Newton Institute for Mathematical Sciences, Cambridge, UK, from January until June 2016.
Research interests:
The interfaces of mathematical (esp. probabilistic) modelling, stochastic processes, 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. 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
  2. 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 | PDF, S1 (PDF), S2 (Mathematica notebook), S3 (Mathematica notebook)
  3. 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
  4. 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 | PDF
  5. 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