Multiscale Methods for Stochastic Dynamical Systems in Biology

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Multiscale Methods for Stochastic Dynamical Systems in Biology

 29 Feb - 04 Mar 2016

ICMS, 15 South College Street Edinburgh

Scientific Organiser

  • Mark Chaplain, University of St Andrews
  • Radek Erban, University of Oxford
  • Yannis Kevrekidis, University of Princeton
  • Ben Leimkuhler, University of Edinburgh
  • Kevin Painter, Heriot-Watt University

About:

This workshop was part of the Stochastic Dynamical Systems in Biology: Numerical Methods and Applications programme.

The three main objectives were:

  • To increase participation of researchers from the north of the UK in the INI programme

  • To introduce both main themes of the INI programme (spatial and non-spatial models)

  • To discuss the most recent advances in multiscale modelling

The speakers of this Satellite Workshop dealt with issues relating to multiple temporal and spatial scales. In particular, this workshop covered the two main themes of the INI programme and was a dedicated research workshop, and an introduction to the INI programme. The participants of the workshop were encouraged to contribute to the programme by working on research topics investigated by Cambridge-based research participants.

Speakers

  • Alexandra Jilkine, University of Notre Dame - The Role of Cell Location and Spatial Gradients in the Evolutionary Dynamics of the Intestinal Cryp
  • Gerhard Hummer, Max Planck Institute of Biophysics - Molecular Simulation and Stochastic Dynamical Modeling of Protein Function
  • Tim Elston, University of North Carolina - Multiscale Modeling of Gradient Sensing
  • Mark Chaplain, University of St Andrews - Spatial Stochastic Modelling of Gene Regulatory Networks
  • Garegin Papoian, University of Maryland - Molecular Simulations of Acto-Myosin Network Dynamics
  • Mariya Ptashnyk, University of Dundee - Stochastic Homogenization of a Model of Plant Biomechanics and the Keller-Segel Chemotaxis System
  • Per Lotstedt, Uppsala University - Diffusion, Subdiffusion, Reactions, and Internal States in Mesoscopic Models
  • Andreas Deutsch, Technische Universität Dresden - Cellular Automaton Modelling of Cancer Growth and Invasion
  • Thomas Hillen, University of Alberta - Stochastic Modelling of the Normal Tissue Complication Probability in Radiation Treatment of Cancer
  • Daan Frenkel, University of Cambridge - Towards Addressable Self-Assembly
  • Assyr Abdulle, École Polytechnique Fédérale de Lausanne - Numerical Techniques for Stiff and Ergodic Stochastic Differential Equations 
  • Hye-Won Kang, University of Maryland - Multiscale Stochastic Reaction-Diffusion Algorithms Combining Markov Chain Models with SPDEs  
  • Jonathan Chapman, University of Oxford - Model Reduction for Slow-Fast Stochastic Systems with Metastable Behaviour
  • Anastasios Matzavinos, Brown University - Mesoscopic Modeling of DNA Transport in an Array of Entropic Barriers 
  • Radek Erban, University of Oxford - Mathematical Methods for Multiscale Modelling of Intracellular Processes
  • Franziska Matthaeus, Heidelberg University - Stochastic Modeling of Collective Cancer Cell Migration
  • Wilhelm Huisinga, Potsdam - Hybrid Stochastic-Deterministic Solution of the Chemical Master Equation
  • Sarah Harris, University of Leeds - Fluctuating Finite Element Analysis
  • Giovanni Samaey, KU Leuven - Variance-Reduced Simulation of Stochastic Agent-Based Models in Biological Applications
  • Ben Leimkuhler, University of Edinburgh - Enhanced Sampling of Biomolecular Systems Using Extended Dynamics
  • Pep Espanol, Universidad Nacional de Educación a Distancia -  Thermal Blobs
  • Kevin Painter, Heriot-Watt University - Navigating the Flow
  • John Chodera, Memorial Sloan-Kettering Cancer Center - Stochastic Modeling of Biomolecular Conformational Dynamics with Markov State Models

  • Konstantinos Zygalakis, University of Edinburgh - Hybrid Modelling of Stochastic Chemical Kinetics

Sponsors and Funders:

This Satellite Workshop at ICMS is jointly funded by the INI programme and the ICMS.