[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-149049-105":59,"doc-detail-149049-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","tony-bonnaire-research-scientist-cv","TONY BONNAIRE - Research Scientist CV","","CV covering academic and professional trajectory of Tony Bonnaire, Research Scientist at CNRS and Paris-Saclay University. Research focus spans memorization in generative models, physics-inspired diffusion models, and non-convex optimization, with applications to cosmological data and critical phenomena in statistical physics. Experience includes roles from Research Scientist to AI Research Fellow and postdoctoral positions, plus earlier work in astronomy and astrophysics pattern extraction. Skills highlight machine learning and scientific computing tools (Python, PyTorch, Git).",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/tony-bonnaire-research-scientist-cv/149049/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/tony-bonnaire-research-scientist-cv/149049.png","ImageObject",300,407,{"name":92,"@type":93},"Ethan Miller","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-08-27",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",18,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"Tony Bonnaire的研究兴趣主要包括哪些方向？","Question",{"text":113,"@type":114},"研究兴趣包含生成模型中的记忆机理、物理启发的扩散模型以及非凸优化，并面向宇宙学数据和统计物理中的临界现象等应用展开。","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"他的主要工作经历有哪些关键节点？",{"text":118,"@type":114},"经历包括CNRS与Paris-Saclay University的研究科学家岗位，以及ENS Paris的AI Research Fellow和博士后研究员等阶段；早期还参与过与宇宙学数据模式提取相关的研究与工程工作。",{"name":120,"@type":111,"acceptedAnswer":121},"他的授课与指导工作涵盖哪些方面？",{"text":122,"@type":114},"他参与PSL/ENS相关课程的共同授课与指导，涵盖机器学习原理与物理应用，以及基于机器学习的科研实践；同时对博士与硕士项目提供共同指导。","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},149049,1787790754,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":19,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":52,"preview_page_count":4},687207017582,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","TONY BONNAIRE  \nResearch Scientist @CNRS | Paris-Saclay University  \n@ [tony.bonnaire@psl.eu](tony.bonnaire@psl.eu) * Paris, France 􀂀 [tonybonnaire.com](tonybonnaire.com) § tbonnair  \nCurrent research interests  \n• Theory: Memorization in generative models, physics-inspired diffusion models, non-convex optimization.  \n• Applications: Generative models for cosmological data and critical phenomena in statistical physics.  \nEXPERIENCE  \nLANGUAGES  \nResearch scientist – CNRS, Paris-Saclay University  \nz Oct. 2025 – Ongoing * Paris, France  \n• Machine learning theory (optimization, score-based generative models),• Generative Models for physics (cosmology, statistical physics) .  \nAI Research Fellow – ENS Paris, PSL University, PR[AI]RIE  \nz Jan. 2023 – Oct. 2025 * Paris, France  \n• Machine learning theory (optimization, generative models),• AI for cosmology (segmentation, generative modelling),  \n• ML teaching to master students of PSL University (150 hrs/year) .  \nPostdoctoral researcher – ENS Paris, PSL University, PR[AI]RIE  \nz Nov. 2021 – Jan. 2023 * Paris, France  \n• Machine learning theory (high-dimensional non-convex optimization) .  \nPh. D. Student – IAS, Paris-Saclay University  \nAI4Science Cosmology Pattern extraction – Python  \nz Oct. 2018 – Sept. 2021 * Orsay, France  \n• 2D/3D pattern extraction from cosmological data and simulations.  \n• Statistical analysis of the cosmic web to improve cosmological models.  \n• Supervision: Nabila Aghanim, Aurélien Decelle.  \nResearch engineer – Thales  \nz Sept. 2017 – Sept. 2018 * Élancourt, France  \n• Design and implementation of (un)supervised algorithms for electronic warfare problems.  \nEDUCATION  \nPh. D. in Astronomy and Astrophysics  \nParis-Saclay University  \nz Oct. 2018 – Nov. 2021 * Orsay, France  \nCentraleSupélec Engineer  \nCentraleSupélec, track: Applied mathematics (rank: top 10%)  \nz Sept. 2014 – Sept. 2017 * Gif-sur-Yvette, France  \nFrench ○ ○ ○ ○ ○  \n\n| English | ○ ○ ○ ○ ○ |\n| --- | --- |\n| Italian | ○ ○ ○ ○ ○ |\n| PROGRAMMING |  |\n\n\n| Python |  | PyTorch |  | Git |  |\n| --- | --- | --- | --- | --- | --- |\n| Slurm  C\u003Cbr>\u003Cbr>R Matlab\u003Cbr>\u003Cbr>OpenCL   Objective-C \u003Cbr>|  |  |  |  |  |\n\nREFERENCES  \n\n| Prof. Giulio Biroli\u003Cbr>@ LPENS\u003Cbr>\\# [giulio.biroli@ens.fr](giulio.biroli@ens.fr)[ ](giulio.biroli@ens.fr)Laboratoire de Physique del’École normale supérieure, ENS, Paris, France. |\n| --- |\n| Dr. Nabila Aghanim\u003Cbr>@ IAS\u003Cbr>\\# nabila.aghanim@universite[paris-saclay.fr](paris-saclay.fr)\u003Cbr>Institut d’Astrophysique Spatiale, Université Paris-Saclay, Orsay, France. |\n\nDr. Aurélien Decelle  \n@ UCM  \n\\# [adecelle@ucm.es](adecelle@ucm.es)[ ](adecelle@ucm.es)Departamento de Física Téorica I, Universidad Complutense, Madrid, Spain.  \nMachine Learning for Scientific Discovery  \nENS-PSL Co-advisor Co-lecturer Sept. 2025 – Ongoing  \n36 hours – Unified Machine Learning introductory course proposed to students of ENS together with Prof. Marc Lelarge.  \nMachine Learning Principles with Applications in Physics  \nPhysics Department, Master ICFP, ENS-PSL Advisor  Co-lecturer  Sept. 2023 – Ongoing  \n64 hours – Machine learning introduction for M1 students, and supervision of tutored projects.  \nArtificial Intelligence and Chemistry  \nChemistry Department, ENS-PSL Advisor Lecturer Sept. 2023 – Ongoing  \n32 hours – Introduction to the basics of machine learning, and supervision of tutored projects.  \nPSL AI Hackathons  \nENS-PSL, Dauphine Advisor Instructor Jan. 2023 – Ongoing  \n50 hours – Preparation, organization, supervision, and participation in final juries of the PSL AI hackathons for master students.  \nData Challenges  \nMaster MVA (Paris-Saclay University) Nov. 2022 – Jun. 2025 Organisation and beta-testing of the data science challenges for the web platform \"Challenge Data ENS\".  \nEvaluation of the M2 students from the MVA Master course of Prof. Stéphane Mallat.  \nSUPERVISION  \n| • Mehdi Noor – Co-supervision of Ph. D. Sep. 2024 – Ongoing Emulating the Cosmic Web with Generative AI: Methods and A","cbCaibNihJN5FWK7","https://ap.wps.com/l/cbCaibNihJN5FWK7","pdf",274402,"English","# Experience\n## Research positions\n## Education\n# Projects and teaching\n## Supervision\n## Teaching and courses\n# Publications and community\n## Relevant publications","[{\"question\":\"Tony Bonnaire的研究兴趣主要包括哪些方向？\",\"answer\":\"研究兴趣包含生成模型中的记忆机理、物理启发的扩散模型以及非凸优化，并面向宇宙学数据和统计物理中的临界现象等应用展开。\"},{\"question\":\"他的主要工作经历有哪些关键节点？\",\"answer\":\"经历包括CNRS与Paris-Saclay University的研究科学家岗位，以及ENS Paris的AI Research Fellow和博士后研究员等阶段；早期还参与过与宇宙学数据模式提取相关的研究与工程工作。\"},{\"question\":\"他的授课与指导工作涵盖哪些方面？\",\"answer\":\"他参与PSL/ENS相关课程的共同授课与指导，涵盖机器学习原理与物理应用，以及基于机器学习的科研实践；同时对博士与硕士项目提供共同指导。\"}]","TONY BONNAIRE - Research Scientist CV | PDF"]