{"id":5484,"date":"2025-09-03T09:58:19","date_gmt":"2025-09-03T09:58:19","guid":{"rendered":"https:\/\/conferences.sigappfr.org\/egc2026\/?post_type=speaker&#038;p=5484"},"modified":"2026-02-25T13:36:01","modified_gmt":"2026-02-25T13:36:01","slug":"patrick-gallinari","status":"publish","type":"speaker","link":"https:\/\/conferences.sigappfr.org\/egc2026\/speaker\/patrick-gallinari\/","title":{"rendered":"Patrick Gallinari"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"263\" height=\"272\" src=\"https:\/\/conferences.sigappfr.org\/egc2026\/wp-content\/uploads\/2025\/09\/thumbnail_Capture-decran-2025-09-01-a-11.33.00.png\" alt=\"\" class=\"wp-image-5504\"\/><\/figure>\n<\/div>\n\n\n<h1 class=\"wp-block-heading\">Patrick Gallinari<\/h1>\n\n\n\n<p><strong>Professor at <\/strong> <strong>Sorbonne Universit\u00e9, Criteo AI Lab in Paris<\/strong><\/p>\n\n\n\n<p>Patrick Gallinari is a professor at Sorbonne University, affiliated with the ISIR laboratory (Institute of Intelligent Systems and Robotics), and a distinguished researcher at the Criteo AI Lab in Paris. A pioneer in the field of neural networks, his research focuses on statistical and deep learning with applications to semantic and complex data modeling. Since 2018, he has initiated research at the intersection of machine learning and physics, with a particular emphasis on spatio-temporal dynamics, and has contributed to seminal work in this field. He was awarded a national AI Chair (2020\u20132026) titled \u201cDeep Learning for Physical Processes with Applications to Earth System Science,\u201d and a second chair (2025\u20132031) from the PostGenAI@Paris cluster titled \u201cDeep Learning for Science: Modeling Fluid Dynamics in Engineering and Climate Physics.\u201d<\/p>\n\n\n\n<p><a href=\"https:\/\/pages.isir.upmc.fr\/gallinari\/\" style=\"color: #ffbb00\">https:\/\/pages.isir.upmc.fr\/gallinari\/<\/a><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Title: AI4Science: From Equations to Learning Machines<\/strong><\/p>\n\n\n\n<p>For centuries, science has progressed through the explicit formulation of physical laws \u2014 like equations derived from first principles. The advent of data-driven modeling is now challenging this tradition and redefining the foundations of scientific inquiry.<\/p>\n\n\n\n<p>This talk explores how <strong>AI for Science<\/strong> is transforming research across disciplines, moving machine learning from a mere computational tool to a core scientific paradigm. Deep learning, in particular, is enabling powerful empirical models that capture intricate physical dynamics and can generalize across diverse conditions.<\/p>\n\n\n\n<p>The first part of the presentation briefly surveys striking examples from climate and weather forecasting, materials science, biology and drug discovery. The second part highlights key advances from our own group on modeling physical dynamical systems, emphasizing both the opportunities and the challenges of deploying machine learning in this field.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Patrick Gallinari Professor at Sorbonne Universit\u00e9, Criteo AI Lab in Paris Patrick Gallinari is a professor at Sorbonne University, affiliated with the ISIR laboratory (Institute of Intelligent Systems and Robotics), and a distinguished researcher at the Criteo AI Lab in&#8230;<\/p>\n","protected":false},"author":2,"featured_media":5504,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"speaker-category":[141],"speaker-tags":[148,109],"location":[68,101],"class_list":["post-5484","speaker","type-speaker","status-publish","has-post-thumbnail","hentry","speaker-category-keynote-speaker","speaker-tags-keynotes","speaker-tags-speaker","location-france","location-paris"],"_links":{"self":[{"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/speaker\/5484","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/speaker"}],"about":[{"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/types\/speaker"}],"author":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/comments?post=5484"}],"version-history":[{"count":22,"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/speaker\/5484\/revisions"}],"predecessor-version":[{"id":5523,"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/speaker\/5484\/revisions\/5523"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/media\/5504"}],"wp:attachment":[{"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/media?parent=5484"}],"wp:term":[{"taxonomy":"speaker-category","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/speaker-category?post=5484"},{"taxonomy":"speaker-tags","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/speaker-tags?post=5484"},{"taxonomy":"location","embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/egc2026\/wp-json\/wp\/v2\/location?post=5484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}