Ramon Grima

Background

2000    B. Sc (Hons), Physics and Pure Mathematics, University of Malta, Malta

2002    M.A. Physics, University of Virginia, USA 2005    Ph.D Physics, Arizona State University, USA

2005-2006    Postdoctoral Fellow, School of Informatics, Indiana University, US

2006-2008    Mathematical Institute Fellow, Imperial College London

2008-present    Lecturer, University of Edinburgh

Undergraduate teaching

Quantification in Life Sciences (Course Director)

Structures and Functions of Proteins

Research summary

http://grimagroup.bio.ed.ac.uk/

Most studies of stochastic biochemical phenomena in the literature are typically addressed via simulations; we take a different approach by developing novel approximate analytical methods which are in many cases computationally more efficient than simulations and which offer a global picture of the dynamics under study. A few approaches we have developed include novel forms of rate equations and chemical langevin equations to deal with conditions characterized by low to intermediate molecule numbers, and a novel form of the chemical master equation which is valid in non-well mixed crowded conditions. Other topics of interest include the development of rigorous methods to obtain low-dimensional descriptions of large reaction networks.