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Jamie Davies , University of Edinburgh
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Michael Grinfeld, University of Strathclyde
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Steven Webb, University of Strathclyde
About:
Objectives:
- Discussion of recent modelling techniques, such as process algebra, reverse-engineering of genetic networks, Gröbner bases and control-theoretic methods
- Clarification of fundamental philosophical difficulties of modelling biological systems and approaches to overcoming these difficulties
- Identifying new areas in ageing, cancer, developmental biology, and evolution, that could benefit from sound modelling
Speakers
William Bechtel, University of California - Thinking Dynamically About Biological Mechanisms
Vincent Danos, University of Edinburgh - Internal Coarse-Graining of Rule Based Models of Signalling Networks
Claire Dauly, Lein Diagnostics - Processing Techniques for Confocal Eye Measurements
Jamie Davies, University of Edinburgh - Modelling Morphogenesis in Silico and in Wetware
James R Faeder, University of Pittsburgh - Rule-Based Modelling of Biological Signalling: a Progress Report
Tom Freeman, Fios Genomics and the Roslin Institute - Network Visualisation and Analysis of Complex Biological Data
Michael Grinfeld, University of Strathclyde - The Difficulties of Mathematising Biology
Jeremy Gunawardena, Harvard Medical School - Seeing the Wood for the Trees: Mathematical Approaches to Biological Complexity
Tom Kirkwood, Newcastle University - Mathematics and the Science of Ageing
Arthur D Lander, University of California - Biology as Strategy: Exploring the Control of Growth and Form
Reinhard Laubenbacher, Virginia Tech - Parameter Estimation for Boolean Models
Hugh MacMillan, Clemson University - Modelling of Genetic and Environmental Factors in the Generation of Neuronal Variability During Cerebral Cortical Development
Chris Myers, Cornell University - The Geometry of Robustness in Biological Networks and Cellular Information Processing
Gordon Plotkin, CSBE - A Calculus and a Language for (Some of) Systems Biology
Karthik Raman, University of Zurich - Systems-Level Modelling of Pathogenic Organisms for Drug Target Identification
Baruch Rinkevich, Israel Oceanographic Research Institute - Coral Colony Astogeny- Modular Organisms where Biology and Mathematics Meet
Peter Schuster, University of Vienna - Mathematical Modelling of Evolution
Ana M Soto, Tufts University & University of Ulster - Complex Causality
Marc Van Regenmortel, University of Strasbourg - Context Dependence and Relational Nature of Immunological Data Collected for Mathematical Modelling
William C Wimsatt, University of Chicago - Nature at the Edge: Simplifying a Complex System by Natural Means, or One Way to Reason with Messy Systems and Get Away with it?
Olaf Wolkenhauer, University of Rostock - The (re)Construction of Realities in Systems Biology