SPEAKERS
Marco Lorenzi - INRIA Sophia Antipolis
Marco Lorenzi is tenured research scientist (CR) at Inria Sophia Antipolis and Université Côte d’Azur. His research interest is in the development of statistical and machine learning methods for the analysis of large-scale and heterogeneous biomedical data. Current research topics include Bayesian modeling and uncertainty quantification, time-series analysis, latent variable models, and federated learning.
Martin Jaggi - EPFL
Martin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich. He is also the founder of the Zurich Machine Learning and Data Science Meetup, and a co-founder of EPFL's Applied Machine Learning Days.
Aurélien Bellet - INRIA
Aurélien Bellet is a researcher at Inria (France). He obtained his Ph.D. from the University of Saint-Etienne (France) in 2012 and was a postdoctoral researcher at the University of Southern California (USA) and at Télécom Paris (France). His current research focuses on the design of privacy-preserving machine learning algorithms in federated and decentralized settings. Aurélien has served as area chair for ICML (since 2019) and NeurIPS (since 2020). He co-organized several international workshops on machine learning and privacy at NIPS/NeurIPS 2016, 2018 and 2020 and at CCS 2021, as well as the 10th edition of the French pluridisciplinary conference on privacy protection (APVP) in 2019. He also co-organizes FLOW, an online seminar on federated learning with 800+ registered attendees.
Laurent Massoulié - Microsoft Research, Inria Joint Center
Laurent Massoulié is research director at Inria, head of the Microsoft Research – Inria Joint Centre, and professor at the Applied Maths Centre of Ecole Polytechnique. His research interests are in machine learning, probabilistic modelling and algorithms for networks. He has held research scientist positions at: France Telecom, Microsoft Research, Thomson-Technicolor, where he headed the Paris Research Lab. He obtained best paper awards at IEEE INFOCOM 1999, ACM SIGMETRICS 2005, ACM CoNEXT 2007, NeurIPS 2018, was elected "Technicolor Fellow" in 2011, received the "Grand Prix Scientifique" of the Del Duca Foundation delivered by the French Academy of Science in 2017, and is a Fellow of the “Prairie” Institute.
Pascal Paillet - Zama
Pascal Paillier received his PhD in 1999. He is a public-key cryptography expert and has more than 25 years of industrial experience in IT security. His favourite research works include the design of public-key primitives - especially homomorphic encryption, security proofs and the design of customised crypto primitives with specific properties. Until 2009, Pascal was heading the Cryptography & Innovation expert group at Gemalto, the worldwide leader in smart card technologies. Co-founder of CryptoExperts, and now co-founder and CTO at Zama, Pascal has published research papers that are among the most cited in the world - he also filed numerous patents, most of which being commonly implemented in the smart card industry. Pascal is also an active member of ISO SC27 WG2, the expert group that defines ISO/IEC cryptography standards, where he was the main editor of the first-ever standard on homomorphic encryption ISO/IEC 18033-6. His current obsession is to make fully homomorphic encryption easy to instrument and deploy in the cloud with very minimal notions of cryptography, based on Zama's open-source tools for automated compilation and homomorphic runtime execution.
Yann Favier - University Savoir Mont-Blanc
Professor of private law at the University of Savoie Mont Blanc (USMB - Faculty of Law), Deputy Director of the Antoine Favre Law Research Center, Co-leader of the Health Data project at USMB.
Mathieu Andreux, Owkin
A graduate of Ecole polytechnique and ENS Paris-Saclay, Mathieu completed his training with a PhD in Deep Learning and Signal Processing at PSL university and ENS Paris. Mathieu is now a senior data scientist at Owkin, where he leads a group conducting applied research on and driving applications of federated learning.
Industrial Vision
Laetitia Kameni, Accenture Labs
Laetitia Kameni leads Artificial Intelligence R&D activities at Accenture Labs in Sophia Antipolis. Accenture Labs create a vision of how technology will shape the future and invent the next wave of cutting-edge business solutions. Laetitia works at identifying, incubating, prototyping new concepts and delivering applications of innovative and emerging technologies.
Laetitia focuses on Privacy Preserving Machine Learning (Data Privacy approaches, Collaborative Learning) and on the related new business scenarios / applications for the industry. She holds a Master's degree in Computer Science and Information Systems.
Industrial Vision
Medb Corcoran, Accenture Labs
Medb Corcoran is the Managing Director of ‘Accenture Labs’ in Ireland, one of Accenture’s seven key research hubs around the world. In her role at Accenture Labs, Medb incubates and prototypes new concepts through applied R&D projects that are expected to have a significant strategic impact on Accenture, its clients and society. Medb also drives the Artificial Intelligence R&D work - this involves exploring new ways of addressing critical business problems by applying leading-edge AI techniques, including machine learning, natural language processing, knowledge representation and reasoning.
Medb focuses on Responsible AI, and specifically helping organisations tackle the issue of Algorithmic Fairness. She is the Global Responsible AI Lead for Technology Innovation
Industrial Panel
Victor Dillard, Owkin
Victor has spent the last 10 years building and growing AI and technology ventures in life sciences. In 2012 he founded a company developing AI technology for CRISPR genome editing, sold to a cell therapy company in 2018. Victor has a track record in venture creation, fundraising and commercialisation of technology at the intersection of biology and computer science, with extensive experience in in bioinformatics, machine learning, genome editing and next generation sequencing. Victor is responsible for the commercial development of Owkin’s collaborative federated learning platform for medical research.
Industrial Panel
Bruno Grieder, Cosmian
Bruno Grieder co-founded Cosmian in 2018, where he's now Chief Technology Officer. Cosmian technology relies on advanced cryptography (FE, FHE, MPC, Garbled Circuits, etc.).
Before that, he worked for 10 years at Total, a French multinational integrated oil and gas company, and then became in 2001 the EMEA Technical Director of a large e-procurement mining consortium. In 2006 he co-founded his first company Amalto, a software company specialized in e-invoicing that expanded to the US and became the leader in the oil sector.
Industrial Panel
Aymeric Dieuleveut
Aymeric Dieuleveut is assistant professor in Statistics at École Polytechnique, Palaiseau, in the applied mathematics department. His research focuses on stochastic optimization, Federated Learning, and statistical machine learning.
Aymeric graduated from Ecole Normale Supérieure de Paris (Ulm) in 2014 and got a Masters Degree in Mathematics, Probability and Statistics at Université Paris-Sud, Orsay. He obtained his Ph.D. in 2017, working under the supervision of Francis Bach, in the Sierra Team, which is part of the DI/ENS (Computer Science Department of École Normale Supérieure).
Before joining Polytechnique in 2019, he was postdoctoral Researcher at EPFL (Ecole Polytechnique Fédérale de Lausanne), in the MLO team, directed by Martin Jaggi.
Industrial Panel (Moderator)