Professor Peter Sollich
Senior Visiting Professor of Statistical Mechanics
Research interests
- Mathematics
Biography
Peter Sollich is a Senior Visiting Professor of Statistical Mechanics in the Department of Mathematics at King's College London. Peter completed an M.Phil on 'Fluctuations and Rigid Unit Modes in Framework Structures', Theory of Condensed Matter in the Department of Physics, Cambridge University in 1992. In 1995 he gained his PhD on 'Asking intelligent questions - The statistical mechanics of query learning' in the Theory Group, Department of Physics and Astronomy, University of Edinburgh.
From November 1995 –September 1998 he was a Royal Society Dorothy Hodgkin Research Fellow in the Condensed Matter Group, Department of Physics and Astronomy, University of Edinburgh. He then moved to King’s College London in the Department of Mathematics, Disordered Systems and Neural Networks Group, where he held the following posts: a Royal Society Dorothy Hodgkin Research Fellow from October 1998-October 1999, a Lecturer from November 1999-August 2002 and then a Reader from September 2002-September 2004. In October 2004 he was promoted to Professor of Statistical Mechanics.
Research interests
- Non-equilibrium statistical mechanics: glass models, trajectory ensembles, large deviations
- Soft matter: rheology, jamming, polydispersity
- Systems biology: subnetwork dynamics
- Bayesian inference: Gaussian processes (multi-task, on graphs etc)
- Random matrices: time series correlation matrices
- Econophysics: segregation into agent groups, co-segregation with market
Further information
Research
Disordered Systems
The Disordered Systems group at King's is at the forefront of research in statistical mechanics of disordered and complex systems.
Centre for Non-Equilibrium Science (CNES)
CNES acts as an international hub for cross-disciplinary research in non-equilibrium science.
Research
Disordered Systems
The Disordered Systems group at King's is at the forefront of research in statistical mechanics of disordered and complex systems.
Centre for Non-Equilibrium Science (CNES)
CNES acts as an international hub for cross-disciplinary research in non-equilibrium science.