Current team members
Dr Chris Banerji is a senior research associate, in the Turing-Roche Partnership and a histopathology registrar at University College London NHS Foundation Trust. Chris has a broad interests in mathematical and computational approaches to biomedical data analysis, with the aim of understanding pathological heterogeneity at all levels (from the molecular to the clinical). Current biological research topics include: biomarker and therapeutic discovery in muscular dystrophy, cancer prognostics and stem cell biology. Current methodological research topics include: network theory, information theory, differential geometry, stochastic modelling, conformal prediction, bulk and single cell transcriptomic data analysis, explainability in deep learning and multimodal data integration.
Dr. Tapabrata Rohan Chakraborty is a senior research associate based at the Alan Turing Institute working on transparent and robust AI for healthcare, particularly early cancer diagnosis from medical images (e.g., from radiology/pathology). He is particularly interested in the incorporation of explainability (e.g. via causal machine learning, mechanistic deep learning) and uncertainty quantification (e.g. via conformal inference) into personalised predictions to improve translation of AI pipelines into clinical settings.
Dr. Alessandro Barp is a senior research associate in the Turing-Roche partnership, working on advancing geometric deep learning to understand patient heterogeneity and incorporate prior domain knowledge into the learning process. Additionally, he maintains a keen interest in the application of geometric, topological, and dynamical methods to obtain robust and accelerated Markov chain Monte Carlo, as well as statistical inference algorithms with guarantees.
Dr Ariane Marandon is a research associate in the Turing-Roche partnership, working on uncertainty quantification and more particularly conformal inference to improve the reliability of machine learning in clinical contexts. Her other research interests include selective inference, hypothesis testing, and network analysis. You can read more about Ariane’s work on her website.
Past team members
Imogen Stafford, PhD 2023
Michael Casey, PhD 2022
Joseph Egan, PhD 2022
Elloise Matthews, PhD 2022
Cristina Parigini, PhD 2022
Raffaella Mulas, postdoc 2020-2021
James Davies, PhD 2020
Patrick Stumpf, PhD 2015, postdoc 2015-2019
Fabio Strazzeri, PhD 2019
James Strudwick, PhD 2019
Brian Bonney, MPhil 2019
Rosanna Smith, postdoc 2013-2018
Enrico Mossotto, PhD 2017
Sonya Ridden, PhD 2016
Liana Kontogeoraki, MPhil 2016
David Matthews, PhD 2016
Ben macarthur 