David Schnoerr

kep3

I joined the Theoretical Systems Biology Group at the Imperial College London as a postdoc with Michael Stumpf in autumn 2017. I previously worked as a postdoc at the University of Edinburgh where I also obtained my PhD in 2016 under the supervision of Ramon Grima and Guido Sanguinetti. I received my diploma in theoretical physics from the University of Heidelberg in 2013, where I wrote my thesis on Functional Renormalization Group methods in the group of Christof Wetterich.

 
Short CV: [PDF]
Google Scholar
Twitter

Research interests

  • Computational systems biology and biophysics
  • Stochastic processes in biochemical reaction networks
  • Stochastic reaction-diffusion processes
  • Self-organisation
  • Pattern formation
  • Statistical inference

Publications

* N. S. Scholes and D. Schnoerr contributed equally
† Selected for the “Highlights 2017 Collection” of Journal of Physics A
‡ B. Cseke and D. Schnoerr contributed equally

Reviewer for

  • The Journal of Chemical Physics
  • PLOS One
  • Journal of Statistical Mechanics: Theory and Experiment
  • Journal of Physics A: Mathematical and Theoretical
  • Journal of The Royal Society Interface

Talks

  • (invited) “Using ideas form statistics for analysing (spatio-temporal) stochastic processes’,
    Biophysics and Soft Matter Seminar, June 12, 2017, Simon Fraser University, Canada.

  • (invited) “Using ideas form statistics for analysing (spatio-temporal) stochastic processes’,
    Industrial and Applied Mathematics Seminar, April 27, 2017, University of Oxford, UK.

  • (invited) “Cox process representation and inference for stochastic reaction-diffusion processes”,
    Biomathematical Seminar, November 4, 2016, Imperial College London, UK.

  • “Cox process representation and inference for stochastic reaction-diffusion processes”,
    10th European Conference on Mathematical & Theoretical Biology and SMB Annual Meeting, July 15,
    2016, Nottingham, UK.

  • (invited) “Cox process representation and inference for stochastic reaction-diffusion processes,”
    Stochastic Dynamical Systems in Biology: Numerical Methods and Applications, June 8, 2016,
    Newton Institute, University of Cambridge, UK.

  • “Breakdown of the chemical Langevin equation and moment closure approximations
    for stochastic chemical kinetics”, Mathematical Trends in Reaction Network Theory,
    July 2, 2015, University of Copenhagen, Denmark.

Teaching

  • Tutorial on Mathematics and Physics for Biologists (2015)
  • Tutorial I on Mathematics and Physics for Biologists (2014)
  • Tutorial II on Mathematics and Physics for Biologists (2014)
  • Tutorial I on Mathematics for Natural Scientists (2012)
  • Tutorial II on Mathematics for Natural Scientists (2012)
  • Tutorial on Theoretical Physics II (2010/11)
  • Tutorial on Theoretical Physics I (2008/09)