{"id":1308,"date":"2026-07-20T18:18:34","date_gmt":"2026-07-20T16:18:34","guid":{"rendered":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/?page_id=1308"},"modified":"2026-07-21T16:33:50","modified_gmt":"2026-07-21T14:33:50","slug":"speakers-jdse-2025","status":"publish","type":"page","link":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/jdse2024\/speakers-jdse-2025\/","title":{"rendered":"Speakers JDSE 2024"},"content":{"rendered":"\n
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JDSE 2024<\/h2>\n\n\n\n

Junior conference on Data Science and Engineering <\/strong><\/p>\n\n\n\n

26-27 september 2024 \u2013 Plateau de Saclay<\/em><\/p>\n<\/div><\/div>\n\n\n\n

Keynotes<\/h2>\n\n\n\n
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  • Alessandra Carbone<\/strong>, Sorbonne University<\/em> – Professor in Computer Science at Sorbonne Universit\u00e9 – Head of the Laboratory of Computational and Quantitative Biology (LCQB) 
    Title<\/ins>: Deep Learning in protein-protein interactions 
    Abstract<\/ins>: Most proteins perform their biological functions by interacting with other molecules or themselves. Identifying protein-protein interactions (PPI) therefore provides biological information on protein functions, disease prevalence and the development of therapies. However, finding the interacting protein pairs using experimental approaches is time-consuming and labor-intensive due to the diversity of proteins. Deep Learning methods have enabled major advances in predicting the three-dimensional structure of proteins from genomes, predicting the functions and attributes of a protein and in modifying and designing new task-specific proteins. During this talk, various methods and recent breakthroughs in Deep Learning enabling unprecedented results in reconstructing protein-protein interactions networks and estimating changes in binding affinity will be presented. 
    Biography<\/ins>: A. Carbone is Professor of Computer Science at Sorbonne University, Director of the Laboratory of Computational and Quantitative Biology (LCQB) and co-director of the Bioinformatics and Modeling (BIM) Master\u2019s program. She develops deep learning methods, mathematical models based on statistics and combinatorics, and algorithmic approaches to study the fundamental principles of cellular functioning from genomic data. Its projects aim to understand the principles of evolution and co-evolution of molecular structures. It concerns genome evolution, ancient genomes and adaptation, protein-protein interactions and their evolution.<\/li>\n<\/ul>\n\n\n\n

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    • Anthony Coutant<\/strong>, HephIA<\/em> – 
      Title<\/ins>: Trajectoire d\u2019une Startup Deep Tech en IA : De l\u2019IA exploratoire pour les industries \u00e0 l\u2019IA g\u00e9n\u00e9rative pour le droit 
      Abstract<\/ins>: Dans cette pr\u00e9sentation, nous explorerons le parcours d\u2019HephIA, notre entreprise, depuis ses premiers pas dans la recherche en intelligence artificielle jusqu\u2019\u00e0 son engagement actuel dans le d\u00e9veloppement d\u2019outils g\u00e9n\u00e9ratifs pour le secteur juridique. Vous comprendrez comment nous, chez HephIA, avons progressivement transform\u00e9 des concepts de pointe en prototypes fonctionnels, contribuant \u00e0 innover dans la pratique du droit. Cette pr\u00e9sentation soulignera nos efforts et notre d\u00e9termination \u00e0 surmonter les d\u00e9fis scientifiques et technologiques, tout en illustrant notre engagement envers une technologie transformative. <\/li>\n<\/ul>\n\n\n\n

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      • Harley Davis<\/strong>, Athena Decision Systems<\/em> – 
        Title<\/ins>: AI Agent Precision: Maximizing decision accuracy with business rules integration 
        Abstract<\/ins>: Aujourd\u2019hui, l\u2019engouement autour de l\u2019IA g\u00e9n\u00e9rative et des LLMs est immense. Certains experts pensent m\u00eame que cette technologie marque les premiers pas vers l\u2019AGI. L\u2019IA g\u00e9n\u00e9rative produit effectivement des r\u00e9sultats impressionnants, tant sur le plan linguistique que visuel. Cependant, pour que cette technologie soit d\u00e9ploy\u00e9e efficacement en entreprise, il reste encore des d\u00e9fis \u00e0 relever pour la rendre fiable, explicable et pr\u00e9cise dans les d\u00e9cisions critiques. C\u2019est pourquoi une approche hybride, combinant diff\u00e9rentes technologies de l\u2019IA, dont des m\u00e9thodes symboliques, est essentielle. Ces derni\u00e8res permettent d\u2019obtenir des r\u00e9sultats pr\u00e9cis, r\u00e9p\u00e9tables et explicables, bien que cela ait un co\u00fbt. Lors de cette pr\u00e9sentation, nous d\u00e9montrerons clairement les enjeux pour les entreprises, les d\u00e9fis et les faiblesses technologiques de l\u2019IA g\u00e9n\u00e9rative, ainsi que le potentiel d\u2019une approche hybride. 
        Biography<\/ins>:Harley est le fondateur et PDG d\u2019Athena Decision Systems, une entreprise fran\u00e7aise sp\u00e9cialis\u00e9e dans la cr\u00e9ation de solutions d\u2019IA hybride pour les entreprises. Il a consacr\u00e9 toute sa carri\u00e8re \u00e0 l\u2019IA, depuis ses \u00e9tudes au MIT, o\u00f9 il a obtenu un double dipl\u00f4me en IA et en informatique, jusqu\u2019\u00e0 son travail en tant que chercheur en IA chez Xerox PARC. Apr\u00e8s plusieurs ann\u00e9es chez ILOG, une soci\u00e9t\u00e9 fran\u00e7aise leader en IA, et apr\u00e8s le rachat d\u2019ILOG par IBM, Harley a \u00e9t\u00e9 nomm\u00e9 responsable de la R&D d\u2019IBM en France, o\u00f9 il a supervis\u00e9 le d\u00e9veloppement des logiciels de gestion des d\u00e9cisions intelligentes \u00e0 l\u2019\u00e9chelle mondiale. Il a \u00e9galement cr\u00e9\u00e9 le laboratoire d\u2019IA d\u2019IBM sur le plateau de Saclay et a lanc\u00e9 des initiatives de recherche collaborative avec l\u2019Universit\u00e9 Paris-Saclay. Inspir\u00e9 par les possibilit\u00e9s offertes par ces recherches, Harley a fond\u00e9 Athena Decision Systems d\u00e9but 2024. <\/li>\n<\/ul>\n\n\n\n

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        • Ioana Manolescu<\/strong>, INRIA<\/em> – Senior Researcher 
          Title<\/ins>: Data and AI techniques for Fact-checking and Investigative journalism 
          Biography<\/ins>:Ioana Manolescu is a Senior Researcher at Inria, the national french institute of research in computer science and applied mathematics, and a part-time professor at Ecole Polytechnique, France\u2019s leading engineering school. Her main research interests are data integration, semistructured data management, and DB+AI methods and tools for data journalism and journalistic fact checking. She has co-authored 170 articles, several books, and is a recipient of the ACM SIGMOD 2020 Contribution Award. She has been a member of the SIGMOD Executive Committee and of the PVLDB Endowment Board, an Editor in chief of the SIGMOD Record, and a general chair of the ICDE conference.<\/li>\n<\/ul>\n\n\n\n
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          Junior Committee<\/h2>\n\n\n\n

          Zo\u00e9 Chevallier<\/strong>, Universit\u00e9 Versailles Saint-Quentin<\/p>\n\n\n\n

          K\u00e9vin Dradjat<\/strong>, Universit\u00e9 d\u2019\u00c9vry Paris-Saclay<\/p>\n<\/div>\n\n\n\n

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          Senior Committee<\/h2>\n\n\n\n

          Radu Dragomir<\/strong>, T\u00e9l\u00e9com Paris, IPParis<\/p>\n\n\n\n

          Cl\u00e9ment Fischer<\/strong>, CEA List<\/p>\n\n\n\n

          Massinissa Hamidi<\/strong>, Universit\u00e9 d\u2019\u00c9vry Paris-Saclay<\/p>\n\n\n\n

          Michel Kieffer<\/strong>, Universit\u00e9 Paris-Saclay<\/p>\n\n\n\n

          Nicolas Lerm\u00e9<\/strong>, Universit\u00e9 Paris-Saclay<\/p>\n<\/div>\n\n\n\n

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          Local Arrangement<\/h2>\n\n\n\n

          Marie Laveau<\/strong>, Universit\u00e9 Paris-Saclay<\/p>\n\n\n\n

          Almira Musa<\/strong>, Universit\u00e9 Paris-Saclay<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

          Keynotes Junior Committee Zo\u00e9 Chevallier, Universit\u00e9 Versailles Saint-Quentin K\u00e9vin Dradjat, Universit\u00e9 d\u2019\u00c9vry Paris-Saclay Senior Committee Radu Dragomir, T\u00e9l\u00e9com Paris, IPParis Cl\u00e9ment Fischer, CEA List Massinissa Hamidi, Universit\u00e9 d\u2019\u00c9vry Paris-Saclay Michel Kieffer, Universit\u00e9 Paris-Saclay Nicolas Lerm\u00e9, Universit\u00e9 Paris-Saclay Local Arrangement Marie Laveau, Universit\u00e9 Paris-Saclay Almira Musa, Universit\u00e9 Paris-Saclay<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":1285,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"blank","meta":[],"_links":{"self":[{"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/pages\/1308"}],"collection":[{"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/comments?post=1308"}],"version-history":[{"count":3,"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/pages\/1308\/revisions"}],"predecessor-version":[{"id":1345,"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/pages\/1308\/revisions\/1345"}],"up":[{"embeddable":true,"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/pages\/1285"}],"wp:attachment":[{"href":"https:\/\/hebergement.universite-paris-saclay.fr\/jdse\/wp-json\/wp\/v2\/media?parent=1308"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}