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 biophysics; quantitative immunology; machine learning-informed biomathematical modelling; machine learning interpretability strategies; causal inference; multi-omic integration.
Problems of interest: sequence-function mapping in proteins; biological network reconstruction; protein design; modelling cancer evolution, cancer-immune interactions, infection dynamics and immune escape.
Professor Nick Jones
Inference and Machine learning; Stochastic Processes and Statistical Genetics; Partially observed networks; Mitochondrial Genetics; Ageing; Public Health
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 and topological methods for biological and artificial systems, including topological data analysis and algebraic statistics for structured data such as spatial data, images, networks, and phylogenetic trees. Applications of interest include biomedical imaging informatics, viral evolution, cancer genomics, and mathematical models of representation and learning in AI and cognitive systems.
Professor 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
| Name | Position | |
|---|---|---|
| Dr Jonathan Clarke | Sir Henry Wellcome Postdoctoral Fellow | |
| Name | Position |
|---|---|
| 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 |