Invited Speakers
Director, Finnish Centre of Excellence in Computational Inference Research COIN, Aalto University and University of Helsinki
Academy Professor (Research Professor), and Professor of Computer Science, Aalto University
"Probabilistic modelling with the experts"
Abstract: I will discuss multiple-data-source prediction problems typical of omics-based precision medicine. What is less typical is that some of the data sources are expert users, whose time is costly, changing the problem to active learning or experimental design for prediction. We have addressed this setup as a probabilistic modelling problem, where different types of sources need different modelling assumptions. I will demonstrate that promising results can be achieved in treatment effectiveness prediction tasks in restricted settings, even by explaining human variation with noise models. Richer behaviour requires richer models that draw from cognitive science.
Chair, Computational and Systems Biology Program
Scientific Director, Metastasis and Tumor Ecosystems Center
Memorial Sloan Kettering Cancer Center, NYC
Professor, Department of Mathematics and Applications, Ecole normale superieure
Director, Centre for Computational Biology, Mines ParisTech
Team leader, Institut Curie