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 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.

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.  

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.

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.