Meet our wider associated researchers
Dr Namshik Han
Associate Faculty
Namshik Han is Head of Computational Research & AI at the Milner Therapeutics Institute within the University of Cambridge. He is also the Co-Founder of KURE.ai.
Dr George Mells
Associate Faculty
Dr George Mells is a Consultant Hepatologist at Addenbrooke’s Hospital, and a theme lead for UK-PBC. UK-PBC has established the world’s largest patient cohort with deep phenotype, genotype data and disease outcome data. He will use this unique cohort for statistical modelling of disease to derive clinical prediction models and inform the design and interpretation of ‘omic experiments aimed at re-purposing of drugs and development of predictive biomarkers. Dr Mells will be collaborating with Dr Brian Tom and Dr Chris Wallace in the MRC Biostatistics Unit.
Dr Qingyuan Zhao
Associate Faculty
Qingyuan Zhao is a University Assistant Professor in the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics (DPMMS) at University of Cambridge and a Turing Fellow at the Alan Turing Institute.
He is interested in improving the quality and appraisal of statistical research, including new methodology and a better understanding of causal inference, novel study designs, sensitivity analysis, multiple testing, and selective inference. His substantive research focuses on causal inference problems arising in genetics and epidemiology.
Dr Adrian Weller MBE
Associate Faculty
Dr Adrian Weller MBE is a Director of Research in Machine Learning at the University of Cambridge, and at the Leverhulme Centre for the Future of Intelligence where he is Programme Director for Trust and Society. He is a Programme Director and Turing Fellow leading work on Safe and Ethical AI at The Alan Turing Institute, the UK national institute for data science and AI. His interests span AI, its commercial applications and helping to ensure beneficial outcomes for society. He serves on several boards including the advisory board for the Government’s Centre for Data Ethics and Innovation. Previously, Adrian held senior roles in finance.
Prof Richard Peck
Associate Faculty
Richard Peck spent over 30 years as a clinical pharmacologist in the pharmaceutical industry and was Global head of Clinical Pharmacology at Roche for the last thirteen of these. Since retiring from Roche, he has been appointed Honorary Professor of Pharmacology & Therapeutics at the University of Liverpool.
His research interests include understanding and utilising variability in drug response to enable precision dosing; applying clinical pharmacology to enable the development of personalised/stratified medicines and the use of model-based drug development strategies.
Dr Thomas Callender
Associate Faculty
Tom Callender is Senior Research Fellow & Public Health Physician at UCL and sits on the UK National Screening Committee. He is affiliated with CCAIM and has been deeply involved with creating AutoPrognosis 2.0.
Dr J William L Brown
Associate Faculty
Dr Will Brown leads the Cambridge Big Data in Multiple Sclerosis group. Their research focuses on preventing disability in multiple sclerosis by identifying the right drug, for the right patient at the right time. He also runs phase II repair trials, MRI research and national projects to widen research participation and automate data extraction from hospital records.
Dr Sergio Bacallado
Associate Faculty
Sergio Bacallado is Associate Professor in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge. He is an expert on Bayesian analysis, nonparametric statistical methods, and the applications of deep learning to the physical and biological sciences. In particular, he has worked on statistical applications in the fields of molecular dynamics simulation, drug discovery, hu-man microbiome studies, adaptive clinical trials, and the analysis of PET imaging data.
Dr Richard Milne
Associate Faculty
Richard Milne is a social scientist whose work addresses social and ethical challenges associated with new science and technology and the relationship between science and the public, primarily in the domains of genomics and the development of data-driven medicine. He is based in the Kavli Centre for Ethics, Science, and the Public in the Faculty of Education and in the Engagement and Society Group at Wellcome Connecting Science, which is located alongside the Sanger Institute outside Cambridge. In Cambridge, he also co-leads the ‘Ethics, Law and Society’ strand of Cambridge Public Health.
Prof Anders Christian Hansen
Associate Faculty
Dr Mohammad Lotfollahi
Associate Faculty
research focuses on developing AI/ML algorithms for biomedical data, with a specific emphasis on single-cell technologies for diagnostics, therapeutics, and drug discovery.
