Bio
Dr Giovanni Fiorito is Assistant Professor (University of Sassari, Italy), since 2019. He has a background in Mathematics and a PhD in Complex Systems for Life Sciences from the University of Turin, Italy. He has an honorary position at the School of Public Health, Imperial College, London, as Visiting Researcher, and at the Trinity College, Dublin, as Visiting Professor. He is interested in the study, evaluation, comparison, and development of mathematical and statistical methods for the analysis of multi-omic datasets in epidemiological studies and clinical research with the aim to identify novel diagnostic and prognostic biomarkers. Recently he focused on ageing-related epigenetic modifications (epigenetic clocks and epigenetic drift) and the use of DNA methylation surrogates of exposures and risk factors for developing disease-specific risk profiles.

Bio
Dr Pierre-Antoine Dugué is a Senior Research Fellow (Precision Medicine, Monash University), since 2019. He holds an MSc in Statistics, and a PhD (cervical cancer epidemiology and screening) from the Department of Public Health, University of Copenhagen, Denmark. Since he moved to Australia, most of his research has focused on the association between DNA methylation, lifestyle factors and the risk of cancer. He currently leads the Molecular Epidemiology team, which aims to better understand and predict cancer risk and mortality through the integration of lifestyle, clinical and -omic data. https://www.monash.edu/medicine/scs/researchers/pierre-antoine-dugue.

Bio
Dr Robert Hillary is a Postdoctoral Research Fellow in Molecular Epidemiology based at the Institute of Genetics and Cancer, University of Edinburgh. He undertook his PhD with Dr Riccardo Marioni in Edinburgh working on multi-omics and dementia (Wellcome PhD in Translational Neuroscience). Most recently, he has been awarded independent fellowships to continue his work on applying multi-omics approaches to study the role of proteins and post-translational modification in complex disease states.

Bio
Dr Evangelos Handakas is a Research Fellow in Computational Epidemiology in the Department of Medicine, in the School of Public Health at Imperial London College. His research focuses on investigating the relationship between multiple environmental exposures and human health and he has been involved in over 20 European Union scientific projects and consortia. His scientific research is on applied statistical methods in epidemiological studies and statistical, bioinformatics and biological and interpretive analysis of data.

Bio
Elena Colicino is an Associate Professor at the Icahn School of Medicine at Mount Sinai. She develops and applies novel statistical methods and machine learning approaches to molecular and environmental health data in order to assess the effect of multiple toxic chemicals on human health throughout the life course. In her spare time, she promotes gender diversity in the R-software community by promoting and participating in R-ladies events and meet-ups.