{"id":6237,"date":"2024-01-22T08:46:23","date_gmt":"2024-01-22T08:46:23","guid":{"rendered":"https:\/\/caimed.de\/?page_id=6237"},"modified":"2025-02-18T12:18:54","modified_gmt":"2025-02-18T11:18:54","slug":"fabian-sinz","status":"publish","type":"page","link":"https:\/\/caimed.de\/en\/das-zentrum\/personen\/fabian-sinz\/","title":{"rendered":"Fabian Sinz"},"content":{"rendered":"
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Prof. Dr. rer. nat. Fabian Sinz <\/h1>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Head of the Chair of Machine Learning, Faculty of Mathematics and Computer Science and Campus Institute Data Science (CIDAS), Georg August University G\u00f6ttingen<\/p>\n <\/div>\n <\/div>\n

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Email<\/h6>\n <\/div>\n <\/div>\n
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<\/path><\/svg><\/span> fabian.sinz@caimed.de<\/span><\/a>\n <\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Goldschmidtstra\u00dfe 1\n
37077 G\u00f6ttingen<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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<\/path><\/svg><\/span> +49 551 39 21256<\/span><\/a>\n <\/span>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Digital Twins Group<\/span><\/a>\n <\/span> Campus Institute Data Science (CIDAS)<\/span><\/a>\n <\/span>\n <\/div>\n <\/div>\n
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Prof. Dr. rer. nat. Fabian Sinz has been Head of the Chair of Machine Learning at the Faculty of Mathematics and Computer Science and the Campus Institute Data Science (CIDAS) at Georg August University G\u00f6ttingen since 2021. His field of research is the interface between artificial and biological intelligence. He brings his expertise in data-driven digital twins of biological systems to CAIMed: These are models that have been learned from data and mimic the biological system in important aspects. Digital twins can play an important role in the understanding of biological systems and the design of drugs and therapies. <\/p>\n <\/div>\n <\/div>\n

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\"At the G\u00f6ttingen site of CAIMed, we are looking forward to further strengthening the interface between data science and medicine by contributing our expertise in machine learning and data analysis to develop intelligent algorithms for medical applications and issues. CAIMed will contribute to overcoming the challenges of the digital transformation of the healthcare system.\"<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

Prof. Dr. rer. nat. Fabian Sinz Leiter Lehrstuhl Maschinelles Lernen, Fakult\u00e4t f\u00fcr Mathematik und Informatik und Campus Institut Data Science (CIDAS), Georg August Universit\u00e4t G\u00f6ttingen E-Mail fabian.sinz@caimed.de Adresse Goldschmidtstra\u00dfe 1 37077 G\u00f6ttingen Telefon +49 551 39 21256 Gruppe Digitale Zwillinge Campus Institut Data Science (CIDAS) Prof. Dr. rer. nat. Fabian Sinz ist seit 2021 Leiter […]<\/p>","protected":false},"author":4,"featured_media":0,"parent":1915,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"footnotes":""},"class_list":["post-6237","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/pages\/6237","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/comments?post=6237"}],"version-history":[{"count":4,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/pages\/6237\/revisions"}],"predecessor-version":[{"id":7397,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/pages\/6237\/revisions\/7397"}],"up":[{"embeddable":true,"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/pages\/1915"}],"wp:attachment":[{"href":"https:\/\/caimed.de\/en\/wp-json\/wp\/v2\/media?parent=6237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}