JANUARY 5th, 2021
4:30 pm – 5:30 pm CET
AI & health : Success stories, best practices and future outlook
Nigel Hughes has a thirty-five-year career spanning the NHS in the UK (16 years), NGOs and patient organizations (10 years) and within the pharmaceutical industry (17 years). He has worked clinically in HIV and viral hepatitis, liver disease, and in sales & marketing, medical affairs, market access and health economics, R&D, precision medicine, advanced diagnostics, health IT and Real-World Data/Real World Medicine. His experience covers clinical, education, as an advisor, consulting, communications and lobbying over the years. He is currently the Project Lead for the IMI2 European Health Data & Evidence Network (EHDEN), and was Platform Co-Lead for the IMI1 European Medical Information Framework (EMIF), as well as consulting on numerous projects and programmes in the domain of RWD/RWE.
Janssen is the Pharmaceutical Company of Johnson & Johnson. They focus on areas of medicine where they can make the biggest difference.
Mérouane Debbah received the M.Sc. and Ph.D. degrees from the Ecole Normale Supérieure Paris-Saclay, France. He was with Motorola Labs, Saclay, France, from 1999 to 2002, and also with the Vienna Research Center for Telecommunications, Vienna, Austria, until 2003. From 2003 to 2007, he was an Assistant Professor with the Mobile Communications Department, Institut Eurecom, Sophia Antipolis, France. From 2007 to 2014, he was the Director of the Alcatel-Lucent Chair on Flexible Radio. Since 2014, he has been Vice-President of the Huawei France Research Center. He is jointly the director of the Mathematical and Algorithmic Sciences Lab as well as the director of the Lagrange Mathematical and Computing Research Center. He is an IEEE Fellow, a WWRF Fellow, and a Membre émérite SEE. From 2021 to 2022, he serves as an IEEE Signal Processing Society Distinguished Industry Speaker.
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.
Rémy Choquet, PhD, is a e-health expert for data driven large scale projects. He has an excellent knowledge of local, national and European e-health issues. Besides, he is associated with the biggest e-health research lab in France which collaborates within many national or European H2020 projects. He has a PhD in Public Health : Epidemiology and Medical data science from the Pierre and Marie Curie University (P6). He actually is the medical data and personalized healthcare head at Roche Pharma France and member of the LIMICS lab (U1142) at INSERM. He is an expert in medical data science, semantics, data quality and interoperability in healthcare generated data reuse for public health and research (epidemiology and surveillance systems). He publishes into key domain specific journals and is often appointed as expert for national or European authorities for various e-health topics.
Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives.
As a scientific researcher and engineer with extensive knowledge and experience in machine learning, Dr. Rui Fa has participated in a variety of projects in signal processing and computational biology research. He has experience in leveraging mathematics, applied statistics and machine learning to find useful insights from a large scale of data, and has also accumulated considerable programming experience in Python, MATLAB, R and C++, with knowledge of various types of databases. His expertise and interests : Deep Learning, Data Science, Bioinformatics and Computational Biology, Machine Learning Theory, Bayesian Science, Network Science, Natural Language Processing.
Elsevier is a leader in information and analytics for customers across the global research and health ecosystems.
Stanley Durrleman, Moderator
Dr. Stanley Durrleman is senior researcher at Inria, head of the ARAMIS Lab at the Paris Brain Institute (ICM) on the campus of the Pitié-Salpêtrière hospital. He is fellow of the Paris AI research institute (PRAIRIE). He holds a PhD in applied mathematics from the university of Nice (2010) and a habilitation from Sorbonne University in Paris (2018). His research interests lie in the field of mathematical modeling and statistical learning applied to imaging and medical data. He has designed methods to reproduce and predict the progression of neurodegenerative diseases such as Alzheimer and Parkinson. They serve for the design of therapeutic trials. S. Durrleman has received several awards including the second Gilles Kahn award for the best dissertation in computer in 2010, a starting grant from the European research council (ERC) in 2015n and was the first laureate of a Sanofi iDEA award outside of the USA in 2019. In 2020, he received the Inria – Académie des Sciences young Researcher award.