Professor Mauricio Barahona

Graphs and dynamics. Community detection. Theory of synchronization. Algorithms for nonlinear signal analysis. Multiscale dynamics and model reduction of bio-systems. Mathematical and computational biology. Machine learning and precision healthcare. Dimensionality reduction and omics data.

Dr Thibault Bertrand

Analytical and computational tools from non-equilibrium statistical mechanics, soft condensed matter physics and stochastic processes, applied to biological systems. Active matter. Study of systems at both the single agent scale (e.g., via random walk theory) and the level of collective and emergent behaviours in out-of-equilibrium and disordered systems (including for instance in tissue dynamics). Stochastic thermodynamics of life.

Dr Barbara Bravi

Statistical inference methods for biological systems, in particular to reconstruct dynamics of biological networks and the sequence-function mapping in proteins; an area of particular interest is immunology. Mathematical modelling of stochastic biochemical reactions and model reduction strategies for complex networks. Machine learning, data science and their biomedical applications.

Professor Nick Jones

Networks and Fluctuations - Complex Systems and Systems Biology: Network (graph) analysis, the principles of networks and combinatorics; Transport and development in biological networks; Statistical signal processing; Mitochondrial dynamics; Stochasticity and stem cells; Data science.

Dr Eric Keaveny

Microorganism locomotion and cellular mechanics; Suspensions of interacting and active particles; Mechanics of soft materials and complex fluids; Low Reynolds number hydrodynamics; Numerical methods and computational mathematics.

Dr Anthea Monod

Algebraic approaches to mathematical biology, including topological data analysis and algebraic statistics for biological data structures, such as spatial data, images, phylogenetic trees, networks, and higher dimensional simplices.  Specific biological applications of interest are biomedical imaging informatics (MRI and fMRI, histopathology), viral evolution (including reticulate events and recombination), cancer genomics.

Dr Vahid Shahrezaei

Computational Molecular Systems Biology, Design principles that enable cells to function robustly, in spite of significant inherent stochasticity and environmental noise. To this end, a combination of analytical and computational methods is used to investigate the temporal, spatial and stochastic dynamics of biochemical networks.

Dr Philipp Thomas

Stochastic methods to understand single cell dynamics and cell-to-cell variability in biological populations. Agent-based stochastic processes. Stochastic reaction networks, Markov chains and master equations. Inference methods for single-cell data.

Dr Omer Karin

Systems Biology; Control and computation in biological systems; Emergent behaviors in biological networks and their contribution to adaptive function; Mathematical medicine/physiology; Epigenetics, stem cells, and cell fate dynamics.

Professor Paul C. Bressloff

Stochastic processes in cell biology; stochastic search processes; large deviation theory; self-organization in cell biology; liquid-liquid phase separation and biological condensates; actively switching particles; statistical field theory; neural field theory and vision.


Other Members

Research Fellows

Current Fellows
Dr Jonathan Clarke Sir Henry Wellcome Postdoctoral Fellow  
Summary of the table's contents

Past Fellows

Dr Samuel Johnson Marie Curie Fellow
Dr Iain G Johnston MRC Fellow
Dr Mariano Beguerisse-Diaz James S. McDonnell Foundation Fellow
Dr Thomas Ouldridge Imperial College Junior Research Fellow
Dr Diego Oyarzún Imperial College Junior Research Fellow
Dr Philipp Thomas Fellow of the Royal Commission for the Exhibition of 1851
Past Members