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Carlo Berzuini, University of Manchester. Carlo has been Professor of Biostatistics at the University of Pavia (1983-2008), Italy, Research Project PI at the Faculty of Mathematics of the University of Cambridge (2009-2011), UK, and is currently holding the Chair in Biostatistics at the University of Manchester (2011-), UK. He has also worked at Cambridge's MRC Biostatistics Unit. He is responsible for important methodological developments in Bayesian inference, as a pioneer of particle-based Markov chain Monte Carlo (MCMC) methods for real time inference, and of the first (1996) practical method for a joint analysis of longitudinal and event history data. He also worked in Statistical Genetics, Neuroscience and Computational Biology, and is a leading expert in Causal Inference, with notable contributions in Causative Interaction, Mediation and Bayesian Mendelian Randomization. He counts about 130 peer-reviewed papers. He has participated with PI capacity in European Research Projects.

Kaitlin Wade, University of Bristol. Kaitlin's academic career has focused on the application of methods to improve causal inference within observational epidemiological context, including the use of comprehensive longitudinal cohorts, randomized controlled trials and Mendelian randomization. She was involved in developing the MR-Base resource, a continuously updated online platform that collates and harmonises summary-level data from large-scale genome-wide association studies and automates two-sample Mendelian randomization analyses. Kait-lin's research has specifically focused on the application of several causal inference methods (mainly Mendelian randomization and Recall-by-Genotype analyses) within large population-based cohorts to understand adiposity and dietary intake/eating behaviour as causal risk factors for disease and mortality within the BMI-to-Health group (PI: Professor Nicholas Timpson). Now, as an Elizabeth Blackwell Institute Early Career Fellow based within the MRC Integrative Epidemiology Unit in the Bristol Medical School (Population Health Sciences), Kaitlin's work focuses on the application of Mendelian randomization to understand the causal role played by the human gut microbiome on colorectal cancer, type 2 diabetes and inflammatory bowel diseases.

Matthew Lee, University of Bristol. Matthew is an MRC GW4 PhD student at the University of Bristol. Matt comes from a wet lab background having completed a Masters in Biotechnology and research posts investigating the molecular basis of anthrax vaccines and prostate and colorectal cancer. His PhD focuses on utilising Mendelian randomization and observational epidemiology to investigate the relationship between different measures of adiposity and disease outcomes. In particular Matt is interested in looking at metabolites and the metabolic profile as potential intermediates on the pathway to disease.