{"id":12098,"date":"2023-07-06T16:01:09","date_gmt":"2023-07-06T14:01:09","guid":{"rendered":"https:\/\/new.sano.science\/?post_type=people&p=12098"},"modified":"2025-03-26T11:37:13","modified_gmt":"2025-03-26T10:37:13","slug":"karol-zajac","status":"publish","type":"people","link":"https:\/\/sano.science\/people\/karol-zajac\/","title":{"rendered":"Karol Zaj\u0105c"},"excerpt":{"rendered":"

Scientific Programmer<\/p>\n","protected":false},"featured_media":19642,"template":"","people_teams":[19,34,37],"class_list":["post-12098","people","type-people","status-publish","has-post-thumbnail","hentry","people_teams-research","people_teams-extreme-scale-data-and-computing","people_teams-scientific-programmers"],"yoast_head":"\nKarol Zaj\u0105c - Centre for Computational Personalized Medicine<\/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:\/\/sano.science\/people\/karol-zajac\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Karol Zaj\u0105c\" \/>\n<meta property=\"og:description\" content=\"Scientific Programmer\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/people\/karol-zajac\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2025-03-26T10:37:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/07\/Karol-Zajac-1024x1024.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/karol-zajac\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/people\\\/karol-zajac\\\/\",\"name\":\"Karol Zaj\u0105c - 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His research is primarily focused on High-Performance Computing (HPC) and scientific workflows, including VVUQ (Verification, Validation, and Uncertainty Quantification) processes and large-scale studies.<br \/>\nHis expertise has been applied in adaptation of in silico computational models from the In Silico World (ISW) project onto HPC infrastructure, ensuring both scalability and efficiency. Additionally, he has contributed to toolkit development supporting the automation of simulation campaigns for patient cohorts and data sharing. He supervised experiments, utilizing a total of 5 million CPU hours.<br \/>\nHe emphasizeses that best practices and the development of generalized solutions are crucial for creating impactful and reusable technologies.<\/p>\n<p>With a strong interest in computer science and technology, he balances his professional life with an active lifestyle, enjoying swimming, cycling, calisthenics, hiking and taking short excursions or long journeys.<\/p>\n","email":"","social_media":[{"icon":{"ID":11994,"id":11994,"title":"linkedin","filename":"linkedin.svg","filesize":914,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/linkedin.svg","link":"https:\/\/sano.science\/people\/maciej-malawski\/linkedin-2\/","alt":"","author":"5","description":"","caption":"","name":"linkedin-2","status":"inherit","uploaded_to":531,"date":"2023-07-06 11:24:13","modified":"2023-07-06 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eplus-wrapper\">The Digital Twin paradigm in medical care has recently gained popularity among proponents of translational medicine, to enable clinicians to make informed choices regarding treatment on the basis of digital simulations. In this paper we present an overview of functional and non-functional requirements related to specific IT solutions which enable such simulations - including the need to ensure repeatability and traceability of results - and propose an architecture that satisfies these requirements. We then describe a computational platform that facilitates digital twin simulations, and validate our approach in the context of a real-life medical use case: the BoneStrength application.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-2j4SBu\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_65a8e9d073e43\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-36021-3_2\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Digital twin simulation development and execution on HPC infrastructures","post_excerpt":"In: ICCS 2023: Computational Science \u2013 ICCS 2023.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"digital-twin-simulation-development-and-execution-on-hpc-infrastructures","to_ping":"","pinged":"","post_modified":"2024-01-18 10:05:37","post_modified_gmt":"2024-01-18 09:05:37","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=15019","menu_order":23,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14952,"post_author":"8","post_date":"2024-01-16 13:45:59","post_date_gmt":"2024-01-16 12:45:59","post_content":"<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-w6ZXkN\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p id=\"h-\" class=\" eplus-wrapper\">Piotr Nowakowski, Marian Bubak, Krzysztof G\u0105dek, \u200bMarek Kasztelnik, Maciej Malawski, Jan Meizner, \u200bAdam Nowak, Piotr Po\u0142e\u0107, Karol Zaj\u0105c, Taras Zhyhulin\u200b<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-zQZ8SH\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_65a67a733ad67\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/www.cyfronet.pl\/zalacznik\/9789\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Leveraging ACC Resources for Medical Research","post_excerpt":"In: KUKDM 2023, 2023.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"leveraging-acc-resources-for-medical-research","to_ping":"","pinged":"","post_modified":"2026-01-31 19:31:07","post_modified_gmt":"2026-01-31 18:31:07","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=14952","menu_order":26,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14937,"post_author":"5","post_date":"2024-01-16 13:33:06","post_date_gmt":"2024-01-16 12:33:06","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-G1GWMI\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zaj\u0105c, Piotr Nowakowski, Andrew Narracott, Ian Halliday, Maciej Malawski<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-vSoDxU\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-sGaBCh\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Digital twins are virtual representations of physical objects or systems used for the purpose of analysis, most often via computer simulations, in many engineering and scientific disciplines. Recently, this approach has been introduced to computational medicine, within the concept of Digital Twin in Healthcare (DTH). Such research requires verification and validation of its models, as well as the corresponding sensitivity analysis and uncertainty quantification (VVUQ). From the computing perspective, VVUQ is a computationally intensive process, as it requires numerous runs with variations of input parameters. Researchers often use high-performance computing (HPC) solutions to run VVUQ studies where the number of parameter combinations can easily reach tens of thousands. However, there is a viable alternative to HPC for a substantial subset of computational models - serverless computing. In this paper we hypothesize that using the serverless computing model can be a practical and efficient approach to selected cases of running VVUQ calculations. We show this on the example of the EasyVVUQ library, which we extend by providing support for many serverless services. The resulting library - CloudVVUQ - is evaluated using two real-world applications from the computational medicine domain adapted for serverless execution. Our experiments demonstrate the scalability of the proposed approach.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-vSoDxU\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_65a6776af10b8\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/www.computer.org\/csdl\/proceedings-article\/ccgrid\/2023\/011900a627\/1OFrjleAbTy\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Serverless Approach to Sensitivity Analysis of Computational Models","post_excerpt":"In: CCGrid2023, 2023.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"serverless-approach-to-sensitivity-analysis-of-computational-models","to_ping":"","pinged":"","post_modified":"2024-01-16 13:33:06","post_modified_gmt":"2024-01-16 12:33:06","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=14937","menu_order":27,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12098","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/people"}],"version-history":[{"count":9,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12098\/revisions"}],"predecessor-version":[{"id":22603,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12098\/revisions\/22603"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/19642"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=12098"}],"wp:term":[{"taxonomy":"people_teams","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people_teams?post=12098"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}