Hongzhe Li is a Professor in biostatistics, epidemiology, and informatics at the Perelman School of Medicine, University of Pennsylvania. He is the head of the Statistical Genetics and Genomics Laboratory. His research is mostly motivated by problems in statistical genetics and genomics, including methods for family-based genetic linkage and association analysis, methods for admixture mapping, methods for genome-wide association analysis, methods for analysis of microarray time course gene expression data, high dimensional regression analysis for genomic data, methods for copy number variation analysis, and methods for analysis of next generation sequence data. He has extensively published in both statistical methodological research in top statistics/biostatistics journals (JASA, AOS, AOAS, Biometrika, Biometrics, Biostatistics etc) and in top genetics journals (AJHG, Plos Genetics, etc) and collaborative research in top scientific journals (Science, NEJM, Nature, Nature Genetics, PNAS, Developmental Cell etc).
Janice Scealy is a senior lecturer of statistics at the Australian National University and a 2018 Australian Research Council Discovery Early Career Researcher Award Fellow. She was awarded a prominent research recognition – the Moran Medal in 2021 by the Australian Academy of Science for her substantial contributions to statistical science. Her research interests include: compositional data analysis; directional statistics, shape analysis and statistics for manifold valued data; robust statistics; model selection in linear mixed models; analysis of sample survey data; geostatistics; and analysis of spatial data. Her work has been funded by multiple Australian Research Council programs. She has published in leading academic journals including Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B, Australian and New Zealand Journal of Statistics, Statistics and Computing, and Statistical Science. She is currently a chief investigator on the Australian Research Council Discovery Project entitled A New Generation of Palaeomagnetic Statistics.
Cornelia van Duijn is a Professor of epidemiology at Nuffield Department of Population Health and a Fellow of St Cross College, Oxford. Her research within the Oxford Big Data Institute focuses on large-scale –omics studies of neurodegenerative disorders. She also studies systemic vascular, endocrine and gastrointestinal pathology that is relevant for brain and ocular function. Her current research portfolio includes cross-omics research integrating (epi)genetic, transcriptomic, proteomic, metabolomic and microbiome data of epidemiological cohorts with state of the art brain imaging and cellular model systems. Over the years, she has been a leading figure in several international consortia including ENGAGE, CHARGE , IGAP, ADSP and IGGC . At present, she is the leader of two major consortia: the Horizon2020 CoSTREAM consortium aiming to understand the link between stroke and Alzheimer disease and the MEMORABEL Gut-Brain consortium aiming to unravel the role of the gut microbiome in Alzheimer disease and brain pathology. She further leads the human proteomics and metabolomics discovery research in the Innovative Medicine Initiative (IMI) ADAPTED program, which aims to identify new Alzheimer medicines through understanding the function of the APOE gene.
Linda Chaba, Strathmore University, Kenya
Said el Bouhaddani, UMC Utrecht, The Netherlands
Ian Dryden, University of Nottingham, UK
Thomas Hamelryck, University of Copenhagen, Denmark
Peter Jupp, University of St Andrews, UK
John Kent, University of Leeds, UK
Lucija Klarić, University of Edinburgh, UK
Renee Ruhaak, Leiden University Medical Center, The Netherlands