Wednesday, November 24, 2021
9.00–9.05: Welcome, Benno Schwikowski, Institut Pasteur, Paris
9.05–10.30: Single cell analysis, Alexander Skupin, University of Luxemburg
11.00–12.00: Introduction to clinical trials and evidence levels for establishing the use new treatments and technologies, Laurence Collette, International Drug Development Institute, Louvain-la-Neuve, Belgium
13.00–14.00: Good Gradients and How To Find Them: Towards Multi-Scale Representation Learning Bastian Reick, Helmholtz Zentrum München & Technical University Munich
14.00–15.30: GWAS, polygenic scores, and beyond Celia Greenwood, McGill University, Montreal, Canada
16.00–17.00: Multi-omic network analysis in complex disease, Kimberly Glass, Brigham and Women’s Hospital & Harvard Medical School, Boston, USA
Thursday, November 25, 2021
8.00–9.00: Computational statistics for omics data, Kim-Anh Lê Cao, University of Melbourne, Australia
9.00–10.00: Detecting active modules in multiplex networks, Elva-Maria Novoa-Del-Toro, Metabolism and Xenobiotics (MeX) / Toxalim / INRAE / Toulouse, France
11.00–12.30: Network data analytics in biology and medicine: towards new paradigms , Nataša Pržulj, Barcelona Super Computing Centre
13.30-14.30: Practical Tools for Improving Reproducibility (of Bioinformatics) Johan Dreo, Institute Pasteur
Friday, November 26, 2021
9.00–10.00: A multiomics perspective on personal health, Gokhan Ertaylan, Flemish Institute for Technological Research, Belgium
10.30–11.30: ELIXIR and the distributed infrastructure for genomics and health Frederik Coppens, University of Gent, Belgium
13.30–14.30 On academic blogging and AI ethics Alan Winfield, Bristol Robot Laboratory, UK
15.00–16.00 The multilayer community structure of rare diseases Davide Cirillo & Alfonso Valencia, Barcelona Supercomputing Center, Spain
16.00–17.00: Multiple omics clustering, data interpretation and predictive modelling Bertrand de Meulder, European Institute for Systems Biology and Medicine, France
Back to School Programme