Research group

Guiomar Pescador Barrios is a PhD student at the Department of Mathematics at Imperial College London and part of the StatML Centre for Doctoral Training, a joint program with the University of Oxford, where she is collaborating with Mark van der Wilk and his research group. 

Her research focuses on continual learning, Bayesian inference, and neural architecture selection. Currently, she is developing efficient methods for online learning and dynamic architecture selection, enabling models to adapt more effectively to new data and task requirements.

Before joining Imperial, she completed an integrated Master’s degree in Mathematics at the University of Edinburgh.

Dr Junyang Wang is a researcher in Computational Statistics, with a focus on Bayesian methodology. His research interests include Bayesian Computation, Probabilistic Numerics, Variational Inference, Applications of Bayesian methodology in sustainability and public health. He is currently working with Dr Sarah Filippi on developing scalable Bayesian mixture models using variational inference on mixed data, motivated by application of clustering risk factor data in order to identify useful phenotypes. He is collaborating with NCD-RisC on the application aspects of this work

Prior to this, Junyang completed a PhD in Statistics at Newcastle University on Bayesian Probabilistic Numerical Methods for Ordinary and Partial Differential Equations under supervision of Prof Chris Oates. He then worked as a Postdoctoral Research Associate in the Department of Civil and Environmental Engineeringat Imperial College on an interdisciplinary project developing Bayesian statistical methodology for material flow analysis (MFA).

Theodore de Pomereu is a PhD student in the Fröhlich Lab at the Francis Crick Institute and the Department of Mathematics at Imperial College London, where he is supervised by Fabian Fröhlich and Sarah Filippi.

His research focuses on the development and application of statistical machine learning methods to find mathematical models of complex biological systems, with a particular emphasis on intracellular signalling networks and synthetic signalling cascades.

Prior to joining the Crick, Theodore completed his Master’s in Applied Mathematics (Part III) at the University of Cambridge and his Master’s of Engineering in Mathematics and Data Science at CentraleSupélec, Paris-Saclay University in France.

Isaac Hayden is a PhD student at the Department of Mathematics at Imperial College London and part of the StatML Centre for Doctoral Training. He is co-supervised by Prof Steven Nieder from the National Heart and Lung Institute.

Previous members of the research group

• Dr Ben Howson – PhD student who graduated in 2025
• Dr James Odgers – PhD student who graduated in 2025
• Dr Michael Komodromos – PhD student who graduated in 2025
• Dr Jonathan Ish-Horowicz – PhD student who graduated in 2022
• Dr Nia Iurilli – PhD student who graduated in 2021
• Dr Arinbjorn Kolbeinsson – PhD student who graduated in 2021
• Dr Onur Teymur – Postdoctoral research associate between 2018 and 2020
• Dr Qinyi Zhang – PhD student who graduated in 2019