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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.25.0″ _module_preset=”default” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.25.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.25.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.now.museum\/wp-content\/uploads\/2024\/06\/Yves.jpg” alt=”Yves Rozenholc” title_text=”Yves” _builder_version=”4.25.2″ _module_preset=”default” border_radii=”on|98px|98px|98px|98px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.25.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” text_font_size=”19px” text_line_height=”1.8em” global_colors_info=”{}”]<\/p>\n
Yves Rozenholc is Professor of Data Science at Universit\u00e9 Paris-Cit\u00e9 and Director of Research Unit 7537 BioSTM \u2018Biostatistics, Processing and Modelling of Biological Data,\u2019 which he set up in 2019 and heads up at the Faculty of Pharmacy. He invented the Now.Museum.<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.25.2″ _module_preset=”default” text_font_size=”18px” global_colors_info=”{}”]<\/p>\n Yves Rozenholc is a professor of data science in applied mathematics and mathematical applications. An alumnus of the Lyc\u00e9e Henry-IV, with an initial training in mathematical statistics, he owes his introduction to methods using minimum penalized contrast to Lucien Birg\u00e9, as well as a broad understanding of statistical phenomena as a whole. Since then, he has focused on the role of model selection and, more generally, on the control of randomness.<\/p>\n He pursues his research through \u2018walks\u2019 and encounters, along paths that lead from mathematical statistics to methodological construction, and from statistical algorithms to applications of data science in medicine and biology, through to applications of data science in the arts, humanities and social sciences. [\/et_pb_text][et_pb_code _builder_version=”4.25.2″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_code][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.25.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.25.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.25.2″ _module_preset=”default” text_font_size=”18px” global_colors_info=”{}”]<\/p>\n In these interdisciplinary interactions, he translates data of all kinds – images, figures, texts, curves, objects, etc. – into mathematical objects by means of successive exchanges, formalising them so that they can be processed statistically, so that an estimate or a test can be made with a view to obtaining a prediction or, more generally, knowledge. Whenever possible, he accompanies the preliminary collection of data, stressing that when this is poorly done, the data often turns out to be unusable. Yves Rozenholc often explains that there is always a price to be paid for extracting information from data, in terms of the amount of data, time or money involved, and that the information extracted from the data has a cost that needs to be recognised and paid for.<\/p>\n <\/p>\n <\/p>\n Yves Rozenholc was particularly interested in comparing signals in noisy environments by testing whether or not their difference was a null signal. Il s\u2019est int\u00e9ress\u00e9 \u00e0 la construction de tests de nullit\u00e9 par sym\u00e9trisation tant d\u2019un point de vue th\u00e9orique, avec C\u00e9cile Durault<\/a>, que d\u2019un point de vue appliqu\u00e9 pour la segmentation des tumeurs en imagerie dynamique avec injection d\u2019un agent de contraste.<\/p>\n It was at the H\u00f4pital Europ\u00e9en Georges-Pompidou (HEGP) that Yves Rozenholc met Charles-Andr\u00e9 Cuenod, who was working on angiogenesis monitoring. Understanding that the medical practitioner’s parametric approach often came up against a modelling problem, he proposed a different approach, based on a non-parametric comparison of signals<\/a>, which they carried out together for the \u2018Angiogenesis and Cancer\u2019 project, as part of a collaboration between the LRI-HEGP and MAP5 laboratories. The \u2018Facial Reconstruction\u2019 project, carried out at MAP5, arose from the need of Fran\u00e7oise Tillota, a specialist in forensic medicine, to develop an automated method of facial reconstruction<\/a> with a view to creating robot portraits, using a mathematical approach developed with Yves Rozenholc.<\/p>\n Yves Rozenholc’s career has been marked by scientific dialogue. This is the case with Jean-Christophe Thalabard, a former polytechnicien and hospital practitioner at H\u00f4tel-Dieu, who joined MAP5 with the idea of facilitating cross-disciplinary collaborations between mathematicians or medical doctors and biologists, promoting projects at the frontier between statistics and life. As for his association with Pierre Laurent-Puig, it concerns the analysis of high-throughput Single Nucleotide Polymorphism (SNP) data and the detection of tumour mutations to help personalise cancer treatments. Their work led to the development of the first tumour mutation detection<\/a> method in 2015.<\/p>\n A statistician specialising in frontier research, Yves Rozenholc is, in his own field, that of the random world, in search of the exceptional. His interest lies not so much in the main phenomenon as in the outlier<\/i>, or aberrant data. Rozenholc seeks to identify and then to understand the outlier state, an outlier<\/i> that may or may not be identified with an error. For while the outlier<\/i> may be an error, it may also be a sign. A Darwinian in the sense that he sees life as a series of outliers<\/i>, or errors, some of which, by efficient chance, go from being unique phenomena to the majority and become perpetuated, Yves Rozenholc is interested in the role played by alea<\/i> and outliers<\/i> in adaptation, and, more generally, in the importance of alea<\/i> in all living phenomena.<\/p>\n <\/p>\n <\/p>\n Since March 2020, his concerns have taken the form of the Now.Museum, an open science citizen project dedicated to capturing and documenting the present. This decentralised digital museum is based on \u2018DFD4DFU\u2019 (Decentralised FAIR<\/i> Data<\/i> for Distributed Fair Uses<\/i>) technology, which combines the power of Dataverse’s metadata sharing with the flexibility of DIDs (Decentralised Identifiers) for access and use. n this way, it unites collections of metadata without copying them, or changing ownership or responsibility for them, in compliance with the General Data Protection Regulation. It allows this metadata to be used \u2018\u00e0 la carte\u2019, for controlled exploration and annotation.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Yves Rozenholc, Chairman of the Now.MuseumYves Rozenholc is Professor of Data Science at Universit\u00e9 Paris-Cit\u00e9 and Director of Research Unit 7537 BioSTM \u2018Biostatistics, Processing and Modelling of Biological Data,\u2019 which he set up in 2019 and heads up at the Faculty of Pharmacy. He invented the Now.Museum.Yves Rozenholc is a professor of data science in […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-710","page","type-page","status-publish","hentry"],"yoast_head":"\nResearch and collaborations<\/h2>\n
Invention of the Now.Museum<\/h2>\n
Scientific publications<\/h2>\n
\nYves Rozenholc’s scientific publications in mathematics can be consulted on zbmath.org<\/a>. Interdisciplinary papers (biology and medicine) are available on Pub Med<\/a>, the portal of the National Library of Medicine.[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"