{"id":5580,"date":"2024-09-19T11:19:06","date_gmt":"2024-09-19T09:19:06","guid":{"rendered":"https:\/\/amu.pan.pl\/?page_id=5580"},"modified":"2025-10-15T11:11:05","modified_gmt":"2025-10-15T09:11:05","slug":"zaneta-swiderska","status":"publish","type":"page","link":"https:\/\/amu.pan.pl\/en\/zaneta-swiderska\/","title":{"rendered":"\u017baneta \u015awiderska-Chadaj"},"content":{"rendered":"
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\u017baneta \u015awiderska-Chadaj<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Dr hab. in\u017c. \u017baneta \u015awiderska-Chadaj, prof. PW jest ekspertem w dziedzinie analizy obrazu biomedycznego i biologicznego. W pracy badawczej zajmuje si\u0119 opracowywaniem nowych rozwi\u0105za\u0144 wykorzystuj\u0105cych sztuczn\u0105 inteligencj\u0119 \u00a0do wspomagania diagnostyki medycznej (histopatologicznej i radiologicznej) oraz analizy proces\u00f3w biologicznych. Jej badania maj\u0105 charakter aplikacyjny i interdyscyplinarny: \u0142\u0105cz\u0105 takie dziedziny jak g\u0142\u0119bokie uczenie si\u0119, uczenie maszynowe i wizja komputerowa, biologia i medycyna. Badaczka \u015bci\u015ble wsp\u00f3\u0142pracuje z ekspertami z wielu dziedzin.<\/p>

Dr hab. in\u017c. \u017baneta \u015awiderska-Chadaj jest profesorem na Politechnice Warszawskiej, gdzie prowadzi badania w obszarze biomedycznym. Stopie\u0144 doktora habilitowanego w dyscyplinie In\u017cynieria Biomedyczna uzyska\u0142a na Politechnice Warszawskiej w 2022 r., doktora w dyscyplinie Informatyka na Politechnice Warszawskiej w 2017 r., magistra na Politechnice Warszawskiej w 2014 r. oraz in\u017cyniera na Politechnice \u015al\u0105skiej w 2012 r. Badaczka zdoby\u0142a do\u015bwiadczenie w pracy w mi\u0119dzynarodowych zespo\u0142ach badawczych podczas 2,5-letniego sta\u017cu podoktorskiego w renomowanej grupie badawczej Computational Pathology w Radboudumc w Nijmegen, Niderlandy (2017-2020), wizyty studyjnej w Cedars-Sinai w USA (2019) oraz 3-miesiecznego sta\u017cu na Uniwersytecie Castilla La Mancha w Ciudad Real w Hiszpanii (2017). Jest cz\u0142onkiem IEEE oraz ELLIS Unit Warsaw\u00a0. Zosta\u0142a laureatk\u0105 nagr\u00f3d naukowych Rektora Politechniki Warszawskiej oraz nagrody dla Wybitnych M\u0142odych Naukowc\u00f3w Start FNP (2020 r.), Stypendium Ministra (2021 r.) oraz Nagrody Naukowej POLITYKI (2022 r.). Badaczka zasta\u0142a r\u00f3wnie\u017c wyr\u00f3\u017cniona w\u015br\u00f3d TOP 100 Women in AI Fundacji Perspektywy. W latach\u00a02021-2025 pracowa\u0142a w firmie Bayer, a od 2025 w kieruje zespo\u0142em Analizy obrazowych danych medycznych w Instytucie Badawczym IDEAS.\u00a0<\/p>

Badaczka aktywnie dzia\u0142a na rzecz promocji nauki, poprzez udzia\u0142 w dzia\u0142aniach, takich jak program monitoringowy Women in Tech fundacji Perspektywy oraz liczne wyk\u0142ady go\u015bcinne promuj\u0105ce nauk\u0119.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Dr. hab. in\u017c. \u017baneta \u015awiderska-Chadaj, associate professor at the Warsaw University of Technology, is an expert in the field of biomedical and biological image analysis. Her research focuses on developing new solutions that utilize artificial intelligence to support medical diagnostics (histological and radiological) and analyze biological processes. Her work is both applied and interdisciplinary, bridging fields such as deep learning, machine learning, computer vision, biology, and medicine. She collaborates closely with experts from various domains.<\/p>

Dr. hab. in\u017c. \u017baneta \u015awiderska-Chadaj is an associate professor at the Warsaw University of Technology, where she conducts research in the biomedical field. She obtained her habilitated doctorate in Biomedical Engineering from the Warsaw University of Technology in 2022, her PhD in Computer Science from the same institution in 2017, her master\u2019s degree from the Warsaw University of Technology in 2014, and her engineering degree from the Silesian University of Technology in 2012. She gained experience working in international research teams during a 2.5-year postdoctoral fellowship in the renowned Computational Pathology research group at Radboudumc in Nijmegen, Netherlands (2017-2020), through a study visit to Cedars-Sinai in the USA (2019), and a three-month internship at the University of Castilla La Mancha in Ciudad Real, Spain (2017). She is a member of IEEE and ELLIS Unit Warsaw. She has received several academic awards, including the Rector\u2019s Scientific Prize from the Warsaw University of Technology, the Outstanding Young Scientist Award from the Start FNP (2020), the Minister\u2019s Scholarship (2021), and the POLITYKA Scientific Award (2022). She was also recognized among the TOP 100 Women in AI by the Perspectives Foundation. From 2021 to 2025, she worked at Bayer, and since 2025, she has been leading the Medical Image Analysis Team at IDEAS Research Institute.\u00a0<\/p>

She is actively engaged in promoting science through participation in initiatives such as the Women in Tech monitoring program by the Perspectives Foundation and numerous guest lectures aimed at promoting science.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

\u017baneta \u015awiderska-Chadaj Dr hab. in\u017c. \u017baneta \u015awiderska-Chadaj, prof. PW jest ekspertem w dziedzinie analizy obrazu biomedycznego i biologicznego. W pracy badawczej zajmuje si\u0119 opracowywaniem nowych rozwi\u0105za\u0144 wykorzystuj\u0105cych sztuczn\u0105 inteligencj\u0119 \u00a0do wspomagania diagnostyki medycznej (histopatologicznej i radiologicznej) oraz analizy proces\u00f3w biologicznych. Jej badania maj\u0105 charakter aplikacyjny i interdyscyplinarny: \u0142\u0105cz\u0105 takie dziedziny jak g\u0142\u0119bokie uczenie si\u0119, uczenie… Read More »\u017baneta \u015awiderska-Chadaj<\/span><\/a><\/p>","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/template-pagebuilder-full-width.php","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-5580","page","type-page","status-publish","hentry"],"yoast_head":"\n\u017baneta \u015awiderska-Chadaj - Akademia M\u0142odych Uczonych<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/amu.pan.pl\/en\/zaneta-swiderska\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u017baneta \u015awiderska-Chadaj - Akademia M\u0142odych Uczonych\" \/>\n<meta property=\"og:description\" content=\"\u017baneta \u015awiderska-Chadaj Dr hab. in\u017c. \u017baneta \u015awiderska-Chadaj, prof. PW jest ekspertem w dziedzinie analizy obrazu biomedycznego i biologicznego. W pracy badawczej zajmuje si\u0119 opracowywaniem nowych rozwi\u0105za\u0144 wykorzystuj\u0105cych sztuczn\u0105 inteligencj\u0119 \u00a0do wspomagania diagnostyki medycznej (histopatologicznej i radiologicznej) oraz analizy proces\u00f3w biologicznych. 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