{"id":298,"date":"2021-08-10T15:34:47","date_gmt":"2021-08-10T15:34:47","guid":{"rendered":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/?page_id=298"},"modified":"2025-01-17T11:30:33","modified_gmt":"2025-01-17T10:30:33","slug":"commitees","status":"publish","type":"page","link":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/en\/commitees\/","title":{"rendered":"Commitees"},"content":{"rendered":"\n<h2>CNRS commission<\/h2>\n<p>I&#8217;m a member of the CNRS Interdisciplinary Commission &#8220;Sciences et Donn\u00e9es&#8221; <a href=\"https:\/\/cid55.fr\/\">CID 55<\/a> (Science and data, not data science !). In particular, this commission recruits yearly (calls opened in Dec\/Jan) \u00a0for permanent non-teaching positions a handful of junior scientists (physics, chemistry, social science&#8230;), with a strong expertise in data science. Do not hesitate to contact me to know more.<\/p>\n<h2>Working Groups\u00a0<\/h2>\n<ul>\n<li>member of <a href=\"https:\/\/fair-universe.lbl.gov\">Fair Universe,<\/a> a LBNL Berkeley, U Washington, Chalearn collaboration organising a major scientific competition (an official NeuriPS 2024 competition) on measuring Higgs boson taking into account uncertainties<\/li>\n<li>co-organiser of <a href=\"https:\/\/dataia.eu\/actualites\/cofund-demythifai-appel-sujets-de-these\">DeMythif.AI<\/a> a Universit\u00e9 Paris-Saclay COFUND with 2&#215;15 PhD on AI uncertainties (and application) to start in fall 2024 and 2025. The <a href=\"https:\/\/www.dataia.eu\/en\/open-call-cofund-demythifai-call-international-applications-phd-program\">2024 call is on-going<\/a>.<\/li>\n<li>Scientific lead of\u00a0 <a href=\"https:\/\/machine-learning.pages.in2p3.fr\">CNRS\/IN2P3 Machine Learning<\/a>\u00a0<\/li>\n<li>co-lead IJCLAB &#8220;Calcul et donn\u00e9es&#8221; (computing and Machine Learning<\/li>\n<\/ul>\n<h2>Steering committees<\/h2>\n<ul>\n<li><a href=\"https:\/\/dataia.eu\/en\/dataia-paris-saclay-institute\">Universit\u00e9 Paris-Saclay DataIA<\/a> is the Artificial Intelligence Institute of Universit\u00e9 Paris-Saclay<\/li>\n<li>Associate editor for <a href=\"https:\/\/www.springer.com\/journal\/41781\">Computing and Software for the Big Science (CSBS)\u00a0<\/a>and now (Feb 2025) for <a href=\"https:\/\/epjc.epj.org\">European \u00a0Physical Journal C<\/a><\/li>\n<li><a href=\"http:\/\/www.chalearn.org\">Chalearn<\/a> is a US non-profit dedicated to data challenges organisation<\/li>\n<\/ul>\n<h2>Workshop and conferences<\/h2>\n<ul>\n<li>AISSAI IN2P3 thematic semester with several events, in particular \u00a0<a href=\"https:\/\/indico.in2p3.fr\/event\/30589\/\">AI and the Uncertainty Challenge in Fundamental Physics<\/a> in Paris and Orsay 27 Nov-2 Dec 2023<\/li>\n<li>Learning to discover is a series of three 10 days of workshop on the general theme of AI and physics held at Universit\u00e9 Paris Saclay Institut Pascal. Check out <a href=\"https:\/\/indico.ijclab.in2p3.fr\/event\/5999\/\">the final one Apr 2022<\/a> !<\/li>\n<li>Connecting The Dots is a yearly international workshop on particle tracking in High Energy Physics (next one <a href=\"https:\/\/indico.cern.ch\/event\/1252748\/\">CTD2023 in Toulouse<\/a>, I organised <a href=\"https:\/\/indico.cern.ch\/event\/577003\/\">2017 edition in Orsay<\/a>)\u00a0<\/li>\n<li>Hammers and Nails is a bi-yearly workshop on AI and physics held at Weizmann Institute, Isra\u00ebl (<a href=\"https:\/\/www.weizmann.ac.il\/conferences\/SRitp\/Aug2019\/\">\u00a0in 2019<\/a>, \u00a0in <a href=\"https:\/\/conferences.weizmann.ac.il\/SRitp\/Aug2022\/\">Aug 2022<\/a>)<\/li>\n<li>AI and physics workshop at Applied Machine Learning Days at Lausanne is a yearly one day workshop on theme AI for physics, physics for AI, (<a href=\"https:\/\/appliedmldays.org\/events\/amld-epfl-2021\/tracks\/ai-physics\">last one in 2021<\/a>)<\/li>\n<\/ul>\n<h2>Past responsabilities<\/h2>\n<ul>\n<li>2019-2022 co-lead <a href=\"http:\/\/www.datascience-paris-saclay.fr\">Universit\u00e9 Paris-Saclay Center for Data Science<\/a><\/li>\n<li>2016-2022 co-organiser of the TrackML challenge : &#8220;Accuracy&#8221; phase on Kaggle, \u00a0S. Amrouche et al. &#8220;The Tracking Machine Learning Challenge : Accuracy phase&#8221; in NeurIPS 2018 Competition Book arXiv 1904.06778, and &#8220;Throughput&#8221; phase on Codalab S. Amrouche et al. \u201cThe Tracking Machine Learning Challenge : Throughput phase\u201d Comput. Softw. Big Sci. 7 (2023) \u00a0arXiv 2105.01160<\/li>\n<li>2018-2021\u00a0<a href=\"https:\/\/iml.web.cern.ch\/homepage\">CERN LHCC Interexperiment Machine Learning group<\/a><\/li>\n<li>2016-2018 : co-convenor ATLAS Machine Learning group<\/li>\n<li>2013-2015 : co organiser of the Kaggle Higgs boson challenge &#8216;&#8221;HiggsML&#8221; \u201cThe Higgs boson machine learning challenge&#8221;, C. Adam-Bourdarios et al. JMLR42\u00a0<\/li>\n<li>2013-2016 : ATLAS team leader at LAL\u00a0<\/li>\n<li>2010-2012 : overall coordinator of Atlas offline software, which was a major tool for the Higgs boson discovery announced in July 2012. About 10 PetaBytes of real and simulated data analysed with 4 millions lines of code, written by a total of 1000 people over ten years (250 being active at any given point), and used by 1500 users (the experiment\u2019 physicists).<\/li>\n<li>1999 to 2010: coordinator of Atlas reconstruction software, master minding the algorithms developments and integration<\/li>\n<li>\u00a02005-2006 : co-coordinator of Atlas liquid argon calorimeter software<\/li>\n<li>\u00a02005-2013 : member of Computing Atlas France committee overseeing grid computing for Atlas in france<\/li>\n<li>2004 : chair of Atlas persistent object task force<\/li>\n<li>1999-2002 : coordinator of Inner Detector reconstruction software (tracking)<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>CNRS commission I&#8217;m a member of the CNRS Interdisciplinary Commission &#8220;Sciences et Donn\u00e9es&#8221; CID 55 (Science and data, not data science !). In particular, this commission recruits yearly (calls opened in Dec\/Jan) \u00a0for permanent non-teaching positions a handful of junior scientists (physics, chemistry, social science&#8230;), with a strong expertise in data science. Do not hesitate &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/en\/commitees\/\">Continue reading<\/a><\/p>\n","protected":false},"author":18,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-298","page","type-page","status-publish","hentry","nodate","item-wrap"],"acf":[],"_links":{"self":[{"href":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/wp-json\/wp\/v2\/pages\/298","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/wp-json\/wp\/v2\/comments?post=298"}],"version-history":[{"count":16,"href":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/wp-json\/wp\/v2\/pages\/298\/revisions"}],"predecessor-version":[{"id":645,"href":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/wp-json\/wp\/v2\/pages\/298\/revisions\/645"}],"wp:attachment":[{"href":"https:\/\/users.ijclab.in2p3.fr\/david-rousseau\/wp-json\/wp\/v2\/media?parent=298"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}