Some of the specific areas of focus of the Workshop are latest applications of stochastic and statistical methods in: single molecule biophysics, pattern formation in development, membrane dynamics and self-assembly (including lipid phase separation, motility and interaction with extra-cellular matrix), molecular and cellular aspects of gene expression (including DNA binding proteins and complexes, rigidity theory for structures (frameworks, panel or molecular structures, tensegrity structures) and study of motions and paths of linkages and polygons in protein folding, the energy landscape theory of protein folding, cell division, trans-membrane signaling, immunology and cardiac electrophysiology.


The objectives of the Workshop are to:

1. Discuss new methods of stochastic analysis and statistical physics of importance in biological modeling and suggest new problems for modeling and experiment.

2. Explore similarities and differences in the role of noise in complex biological phenomena.

3. Promote interactions between physicists, mathematicians, biologists, chemists and engineers with interests in modeling stochastic behavior in biology.

4. Provide a forum for junior faculty and graduate students to interact with a wide range of experts and attract new researchers to the field of biological modeling.

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Public Lecture
Alan Perelson (Los Alamos National Laboratory)
New Developments in Modeling the Dynamics of Viral Infections

Keynote Address
Dennis Bray (Cambridge University, UK)
Intracellular Signalling in a Molecular Jungle: Insights from Bacterial Chemotaxis

Miller Lecture in Biophysics
Albert Libchaber (The Rockefeller University)
Towards an Artificial Cell

Special Lecture in Mathematical Biology
Avner Friedman (The Ohio State University)
Tumor Proliferation is Affected by the Material Properties of its Surrounding

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For more information contact:
Lisa Tranberg- Lisa.M.Tranberg.1@nd.edu or
Dr. Mark Alber - malber@nd.edu