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Program 2023

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2023 speakers

Internationally renowned speakers who have participated in past editions of the Summit include: Michael Bronstein (Imperial College London), Vince Madai (Charité Hospital Berlin), Mike Brady (Oxford University), Olivier Clatz (Commissariat Général Investissement), Stegano Ermon (Stanford), Jean-Marie Bonnin (IMT Atlantique), Paola Goatin (3IA Côte d’Azur, Inria), Pr. Dr. Christoph Meinel (Hasso Plattner Institut), Stéphane Canu (Ministère de l’Enseignement Supérieur, de la Recherche et de l’Innovation, Institut National des Sciences Appliquées), Elena Di Bernardino (3IA Côte d’Azur, Université Côte d’Azur), Leopold Parts (Sanger Institute Cambridge), Carolina Wahlby (Uppsala University, Suède), Lucilla Sioli (AI and Digital Industry – Commission Européenne), Philippe Beaudoin (Element AI).

Thomas Walter

Thomas Walter received his PhD from the Centre for Mathematical Morphology at Mines ParisTech in 2003 in the field of Medical Image Analysis. He then joined the group of Jan Ellenberg at the EMBL Heidelberg, where he developed methods in computer vision and artificial intelligence for computational phenotyping in the context of High Content Screening. In 2012, he joined the Centre for Computational Biology at Mines ParisTech, first as an independent researcher and since 2018 as director. His work focuses on Bioimage Informatics with applications to High Content Screening and Digital Pathology. Since 2021, Thomas Walter is full professor at Mines Paris and teaches Deep Learning for Bioimage Analysis. He also holds a chair at the PaRis Artificial Intelligence Research InstitutE (PRAIRIE).

Claude Castellucia

Claude CASTELLUCCIA is a privacy commissioner at the French Data Protection Agency, the CNIL, and a research director at Inria where he is conducting research in the areas of digital privacy protection and computer security. He is also the scientific director of the Chair on the Legal and Regulatory Implications of Artificial Intelligence at the University of Grenoble-Alpes (UGA). He have chaired and participated in program committee of many conferences (ACM CCS, PETS, Wisec,...), co-founded the ACM WiSec conference, and advised more that 15 phd students. Claude hold an engineering diploma, a phd and a habilitation in computer science. He has held visiting research positions at UC Irvine (USA), Stanford University (USA), Max Planck Institute (Germany) and Oxford University (UK).

David Gruson

Ancien élève de l’Ecole nationale d’administration et de l’Ecole des hautes études en santé publique, David GRUSON est Directeur du Programme Santé du Groupe Luminess, spécialisé sur la transformation digitale. Il a exercé plusieurs postes à responsabilité dans les domaines des politiques publiques et de la santé. Il a, en particulier, été conseiller du Premier ministre chargé de la santé et de l’autonomie (2010-2012) et directeur général du Centre hospitalier universitaire de La Réunion (2012-2016). Il est Professeur à la Chaire santé de Sciences Po Paris. Il est le fondateur d’Ethik-IA dont les propositions sur l’IA en santé ont inspiré le volet intelligence artificielle de la révision de la loi de la bioéthique et le nouveau règlement européen sur l’IA.
Il est l’auteur de S.A.R.R.A. une intelligence artificielle et S.A.R.R.A. une conscience artificielle, premiers polars bioéthiques sur l’IA en santé parus en juin 2018 et mars 2020 aux Editions Beta Publisher. Leur spin-off Tuer CAMUS – SARRA files vient de paraître aux mêmes éditions : sous la forme d’une rencontre à travers le Temps, il décrit la rencontre entre Albert Camus et l’intelligence artificielle. Il a également écrit La Machine, le Médecin et Moi, ouvrage de référence sur le développement de l’IA en santé paru en novembre 2018 aux Editions de l’Observatoire et est co-auteur de La Révolution du pilotage des données de santé paru en mai 2019 aux Editions Les Etudes Hospitalières.

He has an h-index of 111.

Raphaële Héno

Raphaële Héno, engineer at IGN, is an expert in photogrammetry. Raphaële Héno notably worked between 2006 and 2015 as head of a teaching department at the ENSG geomatique. At that time she co-wrote a book called “3D modeling of buildings ; outstanding sites”. She worked then for European and international partnerships at IGN. Since 2019, she has been responsible for the IGN innovation program, which aims at disseminating innovation approaches and culture at all levels within IGN, to boost its capacity to provide the public authorities with responsive, operational and quality support.

Bjoern Menze

Bjoen Menze is a computer scientist working in the field of biomedical image analysis, and serving as Professor for Biomedical Image Analysis at the University of Zurich. Before, he was a tenured professor in the Department of Informatics at TU München (W3 level), a Rudolf Moessbauer Tenure Track Professor of the TUM Institute for Advanced Study (W2 level), and a guest professor at Maastricht University. As postdoc, Bjoern Menze was a member of the Asclepios team of the Inria Sophia-Antipolis, the Computer Vision Lab at ETHZ, and the CSAIL Medical Vision Group at MIT, as well as the Department of Anthropology of Harvard FAS, and the Surgical Planning Lab at Brigham Women’s Hospital. Bjoern Menze received a PhD from Heidelberg University in 2007. He organized workshops at MICCAI, ISBI, and CVPR in the fields of medical computer vision and neuroimage processing, served as guest editor for Medical Image Analysis and as a member of the program committee of MICCAI, and he is an associated editor of Medical Image Analysis. He received the Medical Image Analysis Award for the best paper of MICCAI 2014, and the Young Scientist Publication Impact Award at MICCAI 2015. In 2022, he served as a general chair for MIDL 2022.

Imke Maye

Imke Maye recently joined Owkin as a research scientist in biostatistics and causality. Prior to this, she was a research fellow at the Institute of Public Health at the Charité Universitätsmedizin Berlin, working on randomized studies in the context of health services research and strengthening specialist care provision in neurology. In parallel, she has been an associate researcher in the PreMeDICaL team at Inria Sophia Antipolis, and participated in the Causality research program at the Simons Institute for the Theory of Computing at UC Berkeley. Imke obtained her PhD in statistics and applied math at EHESS and École Polytechnique under the supervision of Jean-Pierre Nadal and Julie Josse. During her PhD she was awarded a Google PhD Fellowship in Machine Learning and developed statistical methods and models to help answer questions in critical care. Her research covers various questions in causality, such as the use of machine learning for treatment effect estimation, causal generalization in integrative studies as well as the design and analysis of cluster-randomized studies.

Claire Lelarge

Claire Lelarge is a Professor of Economics at Université Paris-Saclay

Gabriel Vincent

Gabriel Vincent is a visualization and visualization Segment specialist at NVIDIA. He helps companies across southern Europe with their GPU Virtualization, Converged 3D Pipeline, Digital Twin & Industrial Metaverses projects. With over 10 years in the IT industry, he is supporting businesses of all types taking advantage of digital transformation and professional visualization technologies to increase innovation and competitiveness.

Battista Biggio

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Battista Biggio (MSc 2006, PhD 2010) is an Associate Professor at the University of Cagliari, Italy, and co-founder of the cybersecurity company Pluribus One. He has provided pioneering contributions in machine-learning security, playing a leading role in this field. His seminal paper on “Poisoning Attacks against Support Vector Machines” won the 2022 ICML Test of Time Award. His work on “Wild Patterns” won the 2021 Best Paper Award and Pattern Recognition Medal from Elsevier Pattern Recognition. He has managed several research projects and regularly serves as a PC member for ICML, NeurIPS, and USENIX Security. He chaired IAPR TC1 (2016-2020), co-organized S+SSPR, AISec, and DLS, and was Associate Editor for IEEE TNNLS, IEEE CIM. He is Associate Editor in Chief for Pattern Recognition. He is a senior member of IEEE and ACM, and a member of IAPR and ELLIS.

Tavpritesh Sethi

Dr. Tavpritesh Sethi is a physician-scientist and Associate Professor of Computational Biology at Indraprastha Institute of Information Technology Delhi, India and a fellow of the Wellcome Trust/DBT India Alliance at All India Institute of Medical Sciences, New Delhi, India. Over the past two years, he has been a visiting faculty member at Stanford University, School of Medicine from February 2017 to January 2019. He received his M.B.B.S from Government Medical College, Amritsar and PhD from CSIR-Institute of Genomics and Integrative Biology, New Delhi, India. Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings. He has authored over 20 research articles and has been a recipient of MIT-TR35 India Innovators under 35, Wellcome Trust/DBT India Alliance Early Career Award. He is an editorial board member of PLOS One, Systems Medicine and Journal of Genetics. Dr. Sethi is a member of the European Association of Systems Medicine and leads the Australasia region for International Association of Systems and Networks Medicine (IASyM).

Livio de Luca

Architect, PhD in Engineering, HDR (Habilitation) in Computer Science, Livio De Luca is research director at CNRS and director of CNRS/MC-MAP (Models and simulations for Architecture and Cultural Heritage) unit. General Co-chair of the UNESCO/IEEE/EG DigitalHeritage international congress (Marseille 2013, Grenade 2015) and coordinator and member of national (ANR, FUI, CNRS, MC, …) and international (FP7, Marie-Curie, H2020, …) actions, his research activities focus on surveying, geometric modeling and semantic enrichment of digital representations of heritage objects. Editor of the Journal of Cultural Heritage (Elsevier) and associate editor of the Journal on Computing and Cultural Heritage (ACM) and Digital Applications in Archaeology and Cultural Heritage (Elsevier), he has been an appointed member of the CoNRS (Comité National de la Recherche Scientifique). His work was rewarded in 2007 by the Pierre Bézier Prize (Arts et Métiers Foundation), in 2016 by the Medal for Research and Technology (french Academy of Architecture), in 2019 by the CNRS Medal of Innovation and in 2021 by the “Targa d’Oro” of the UID (Italian Union for Drawing). Since 2019 is the coordinator of the “digital data” working group of the CNRS/Ministry of Culture scientific site for the restoration of Notre-Dame de Paris, and, since 2022, he has held an ERC Advanced Grant.

Marco Gori

University of Siena
Marco Gori is full professor of computer science at the University of Siena and head of SAILab (Siena Artificial Intelligence Lab). He is also a member of the MAASAI team, INRIA. His research interests are in the field of artificial intelligence, with emphasis on machine learning, vision, and game playing. In the last few years, he has been mainly involved in the unification of computational processes of reasoning and learning. He is mostly driven by the principle that the the emergence of cognition is rooted in natural laws of computation.

Bettina Laugwitz

Dr. Bettina Laugwitz has an educational background in cognitive psychology and empirical research methodology and started her career outside academia as a consultant and usability engineer. In 2003, Bettina joined SAP and has since been working in diverse roles and areas, including user experience design, research, management, and recently also AI ethics which excites her specifically as this topic needs to link technological innovation and a human-centered perspective in the field of AI

Debarka Sengupta

Debarka is an Associate Professor of Computational Biology and Computer Science at IIIT-Delhi. He is also the current head of the Infosys Centre for Artificial Intelligence at IIIT-Delhi. Debarka has served as an Adj. Associate Professor at the Queensland University of Technology-Brisbane. Debarka carried out his doctoral and post-doctoral research in the Machine Intelligence Unit of the Indian Statistical Institute and Genome Institute of Singapore, respectively. His group has been among the first to introduce big data algorithms in the field of single-cell genomics. He received the INSPIRE Faculty Award in 2015 from the Government of India. His lab invented and commercialized a panel of eleven platelet genes to track the early onset of cancer. For this, Debarka received the 2022 INAE Young Innovator and Entrepreneur Award.