Philipp Thomas is a Senior Lecturer in Biomathematics at Imperial College London and a UKRI Future Leaders Fellow. Previously he was a fellow for the Royal Commission for the Exhibition of 1851 after he received a PhD in Applied Mathematics from the University of Edinburgh. He is broadly interested in stochastic processes in biology with a focus on single cell dynamics and behaviour.

Alasdair Daniels is a departmental-funded PhD student and is co-supervised by Alexis Barr at the Institute of Clinical Sciences. He received his MSc from Imperial where he was also supervised by Philipp. Alasdair’s current research is focused on deep learning approaches to cell tracking and creating stochastic models of cell cycle control.

Paul Piho is an UKRI-funded postdoctoral researcher in our group. He received his undergraduate degree in Mathematics from the University of Durham and a PhD in stochastic modelling and formal methods in computer science from the University of Edinburgh. His research interests are in the area of stochastic modelling of agent-based population dynamics and related simulation and approximation methods. He is currently working on models of cell growth and division.

Francesco Puccioni is an EPSRC-funded PhD student in Applied Mathematics. He earned a Master Degree in Physics of Complex Systems from the University of Turin where he focused on dynamical phase transitions in Katz-Lebowitz-Spohn models. His current research aims to provide novel theoretical methods and simulation algorithms to describe the evolution of agent based populations.

Johannes Pausch is an UKRI-funded research associate working on time-dependent stochastic models of cell proliferation. He received his PhD in 2019 from Imperial College where he was also a Doctoral Prize Fellow. Before joining the group, Johannes was a Teaching and Research Fellow at St. Catharine’s College, University of Cambridge. His research interests also include statistical models of neuronal signals and non-equilibrium statistical field theory.

Dimitris Volteras is a departmental-funded PhD student in Applied Mathematics co-supervised by Vahid Shahrezaei. He earned his Bachelor Degree in Mathematics at the University of Athens and his Master Degree in Applied Mathematics at Imperial College London. His current research is focused on developing multiscale stochastic methods for approximating biochemical reaction networks as well as predictive models for extracting dynamic information from single-cell snapshot data.

Zekai Li is a departmental-funded PhD student in the Applied Mathematics stream co-supervised by Mauricio Barahona. He received his BSc degree in Mathematics with Statistics for Finance at Imperial College London, and his MSc degree in Statistical Science at the University of Oxford. His research focusses on optimisation-based approaches to stochastic processes and inference.

Hannah Dewhurst is an MRC-funded PhD student. She received her undergraduate degree and MSci in Bioveterinary Sciences from The Royal Veterinary College. She has since gained experience working as a Research Assistant in the Molecular Endocrinology group at Imperial College, investigating the genetic determinants of Osteoporosis and Osteoarthritis. She has now joined the group of Luca Magnani, co-supervised by Philipp Thomas and her research is focussed on the mechanisms behind treatment-induced cancer cell dormancy and how this leads to resistance to endocrine therapy in Oestrogen Receptor Positive Breast Cancer.