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Wilber Deck has a BSc in Mathematics at Queen's University and graduated from McGill Medical School in 1990, and continued at McGill to complete an MSc in Epidemiology and Biostatistics and specialty training as a public health doctor in 1995. Since then he has lived and practiced in Gaspé as a public health physician and in clinical oncology and has collaborated on numerous research projects, largely involving cancer screening, at the INESSS and INSPQ. James Hanleys website: http://www.medicine.mcgill.ca/epidemiology/hanley/
En théorie des graphes, on dit qu'un ensemble de sommets domine un graphe si tous les sommets du graphe sont connectés à un des sommets de l'ensemble. La théorie de la domination sur les graphes remonte à loin, et sa conception peut être retracée à un innocent problème de de Jaenisch posé en 1862: utiliser le nombre minimal de dames pour surveiller toutes les cases de l'échiquier. Nous retournons à ce problème classique en modifiant l'échiquier: combien de dames ou de tours sont nécessaires et suffisantes pour garder un échiquier constitué de polycubes de dimension d? Pour vous familiariser avec le problème, un jeu vidéo vous sera fourni et, bien entendu, un prix de 1 million de dollars attend la personne qui pourra trouver une façon efficace de le résoudre. Des doutes sur la dernière affirmation? Elle sera prouvée!
Sara is Associate Professor at the Department of Mathematical Science at the Norwegian University of Science and Technology, Norway. Her research focuses on spatial and computational Bayesian statistics with a particular focus on approximate Bayesian inference methods. She is interested in applications in a wide range of scientific fields from ecology and air quality to multistate survival models.
Dylan Spicker is a postdoctoral fellow at McGill University, supported by the CRM StatLab and CANSSI, under the supervision of Dr. Erica Moodie. Prior to their postdoc, Dylan completed their PhD and MMath in Statistics at the University of Waterloo. Dylan's research focuses on the development of statistical methods for causal inference, both using observational data in a longitudinal context and data which arise from respondent-driven sampling, with a particular interest in developing methods which are broadly accessible and applicable in a wide variety of settings. Website: https://www.dylanspicker.com/
Forrest W. Crawford is an Associate Professor of Biostatistics, Statistics & Data Science, Operations, and Ecology & Evolutionary Biology at Yale University. He is affiliated with the Center for Interdisciplinary Research on AIDS, the Institute for Network Science, the Computational Biology and Bioinformatics Program, and the Public Health Modeling Concentration. His research focuses on mathematical and statistical problems related to discrete structures and stochastic processes in epidemiology, public health, biomedicine, and social science. He received the NIH Director's New Innovator Award in 2016. Websites: http://www.crawfordlab.io/ - https://ysph.yale.edu/profile/forrest_crawford/