Research group

Aya Amenssag is a PhD student in the Department of Mathematics at Imperial College London and part of the StatML Centre for Doctoral Training. She is co-supervised by Professor Nick Turner from the Institute of Cancer Research, London.

Through her research, she intends to focus on using raw cfDNA methylation sequencing to improve breast cancer diagnosis and the classification of its subtypes from plasma, while strengthening her understanding of the theoretical foundations of approaches commonly used in genomics.

Before joining the CDT, Aya completed a Diplôme d’Ingénieur with a specialisation in Applied Mathematics at École Centrale de Nantes and an MSc in Statistics at Imperial College London, before working as a Data Scientist at the Institute of Cancer Research, London.

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.

Isaac Hayden is a PhD student in the Department of Mathematics at Imperial College London and part of the StatML Centre for Doctoral Training. He is co-supervised by Professor Prof Steven Nieder from the National Heart and Lung Institute. His research focuses on Bayesian nonparametric methods for multifidelity modelling and experimental design, with applications to cross-species extrapolation in cardiac safety assessment.

Before joining the StatML programme, Isaac completed an integrated Master’s in Mathematics at Durham University. He then worked as a Pharmacometric Data Scientist in a HealthTech start-up delivering precision chemotherapy dosing. There he developed Bayesian pharmacokinetic models and machine learning extensions to describe drug exposure in special patient populations.

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.

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