Cancer Risk Factors Analysis from Open Data
Olivier de Fresnoye presents on Epidemium and its data challenge program initiating new paths for cancer research using Open Data. Grand Prize recipient OpenCancer has built a tool aimed at helping cancer prevention based on machine learning models. Their associated platform relies on Elasticsearch to analyze and visualize data. OpenCancer has four members: Benjamin Schannes, Martin Micalef, Benoît Rolland, and Lino Galiana.
Olivier de Fresnoye
Olivier de Fresnoye is a specialist in open source and community-based projects. With a dual scientific and economic background, he has developed several "open" projects using collective intelligence in France and abroad. Co-founder of the echOpen project (connected ultrasound probe) and coordinator of the Epidemium program (collaborative research on cancer using open data), he participates in several working groups on new technologies and their scientific and societal contributions with a focus in the field of health.
Benoît ROLLAND holds a master's degree in cell biology and physiology, with a molecular genetic option, and a Master of Advanced Studies in Business Intelligence. He performed an analysis of the mammalian expression of transferrin in rabbits, a study on T-cell strains aging, and the transfer of xanthism between cichlid species. He is programmer, project manager and technical leader for the industrial, insurance, and water and energy distribution sectors in the areas of PLM, web, cloud services and big data. He has been a main contributor to OpenCancer since its inception in October 2017.
Martin MICALEF is currently working for the actuarial consulting firm ACTUARIS. He assists large companies in quantitative and decision-making projects. After studies in mathematics and economics, he volunteered at a small rural school in India. He then returned to university, to complete his masters in economics and statistics at Toulouse School of Economics (TSE). Witnessing cancer cases in his close circle, he became a main contributor to the Epidemium community in 2017 through OpenCancer to provide added value on the quantitative part and thus take part in cancer research and the publication of research papers.
Benjamin SCHANNES works at the intersection between health, new technologies and statistical learning. After a literature and social sciences degree, he turned toward applied mathematics at the ENSAE (French Grande Ecole for Economics, Data Science and Finance), UPMC (formerly Pierre and Marie Curie University) and Ecole Polytechnique. Author of statistical research papers and head of R&D at Mercer, he is also interested in Open Data. He joined the Epidemium community in 2016, coordinating a first project about ‘Predictive Approaches and Cancer Risk’, prior to launching OpenCancer in 2017, in order to build open source tools aimed at helping cancer prevention.