{"id":690,"date":"2023-05-22T18:00:18","date_gmt":"2023-05-22T16:00:18","guid":{"rendered":"https:\/\/sano.empressia.dev\/?post_type=people&p=690"},"modified":"2026-03-24T11:46:21","modified_gmt":"2026-03-24T10:46:21","slug":"karol-capala","status":"publish","type":"people","link":"https:\/\/sano.science\/people\/karol-capala\/","title":{"rendered":"Karol Capa\u0142a"},"excerpt":{"rendered":"

PostDoc in Personal Health Data Science<\/p>\n","protected":false},"featured_media":17572,"template":"","people_teams":[19,32],"class_list":["post-690","people","type-people","status-publish","has-post-thumbnail","hentry","people_teams-research","people_teams-computational-intelligence"],"yoast_head":"\nKarol Capa\u0142a - 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-capala\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Karol Capa\u0142a\" \/>\n<meta property=\"og:description\" content=\"PostDoc in Personal Health Data Science\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/people\/karol-capala\/\" \/>\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=\"2026-03-24T10:46:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/poeople_Sano.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1827\" \/>\n\t<meta property=\"og:image:height\" content=\"1827\" \/>\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-capala\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/people\\\/karol-capala\\\/\",\"name\":\"Karol Capa\u0142a - 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During his bachelor’s degree, he was involved in epidemiological modeling, and later devoted time to the study of stochastic processes. He defended, with distinction, his PhD thesis on underdamped L\u00e9vy flights. His interests include random walks (the mathematical kind), statistical physics, and population models.<\/p>\n","email":"","social_media":[{"icon":{"ID":11992,"id":11992,"title":"orcid","filename":"orcid.svg","filesize":15590,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/orcid.svg","link":"https:\/\/sano.science\/people\/maciej-malawski\/orcid\/","alt":"","author":"5","description":"","caption":"","name":"orcid","status":"inherit","uploaded_to":531,"date":"2023-07-06 11:21:29","modified":"2023-07-06 11:21:29","menu_order":0,"mime_type":"image\/svg+xml","type":"image","subtype":"svg+xml","icon":"https:\/\/sano.science\/wp-includes\/images\/media\/default.png","width":1,"height":1,"sizes":{"thumbnail":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/orcid.svg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/orcid.svg","medium-width":300,"medium-height":300,"medium_large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/orcid.svg","medium_large-width":768,"medium_large-height":1,"large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/orcid.svg","large-width":1024,"large-height":1024,"1536x1536":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/orcid.svg","1536x1536-width":1,"1536x1536-height":1,"2048x2048":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/orcid.svg","2048x2048-width":1,"2048x2048-height":1}},"link":"https:\/\/orcid.org\/0000-0002-8864-0760","name":"ORCID"},{"icon":{"ID":11990,"id":11990,"title":"research gate","filename":"research-gate.svg","filesize":14281,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","link":"https:\/\/sano.science\/people\/maciej-malawski\/research-gate\/","alt":"","author":"5","description":"","caption":"","name":"research-gate","status":"inherit","uploaded_to":531,"date":"2023-07-06 11:18:50","modified":"2023-07-06 11:18:50","menu_order":0,"mime_type":"image\/svg+xml","type":"image","subtype":"svg+xml","icon":"https:\/\/sano.science\/wp-includes\/images\/media\/default.png","width":1,"height":1,"sizes":{"thumbnail":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","thumbnail-width":150,"thumbnail-height":150,"medium":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","medium-width":300,"medium-height":300,"medium_large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","medium_large-width":768,"medium_large-height":1,"large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","large-width":1024,"large-height":1024,"1536x1536":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","1536x1536-width":1,"1536x1536-height":1,"2048x2048":"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/research-gate.svg","2048x2048-width":1,"2048x2048-height":1}},"link":"https:\/\/www.researchgate.net\/profile\/Karol-Capala","name":"ResearchGate"}],"tabs":false,"position_with_team":{"text_before_link":"PostDoc in","link_text":"Personal Health Data Science","text_after_link":"","link":"https:\/\/sano.science\/research-teams\/personal-health-data-science\/"},"publications":[{"ID":30090,"post_author":"8","post_date":"2026-03-24 11:41:02","post_date_gmt":"2026-03-24 10:41:02","post_content":"<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-bDi8Oq\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">A new paper co-authored by Joan Falc\u00f3-Roget from Sano presents a fully quantum approach to community detection in complex networks using D-Wave Advantage systems. By recursively decomposing the modularity maximization problem into binary instances, the method avoids one-hot encoding and costly penalty tuning, while achieving performance comparable to state-of-the-art classical algorithms. Importantly, it produces interpretable dendrograms that can reveal normal and pathological hierarchies in brain networks, bringing quantum annealing closer to practical clinical applications. <\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-bDi8Oq\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\"><em>See how quantum annealing helps find hidden structure in the brain and complex networks<\/em><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"30px\",\"epAnimationGeneratedClass\":\"edplus_anim-TFmkrs\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_69c26a1c2400c\",\"name\":\"acf\/button\",\"data\":{\"title\":\"Read the article\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"See\u00a0how\u00a0quantum\u00a0annealing\u00a0helps\u00a0find\u00a0hidden\u00a0structure\u00a0in\u00a0the\u00a0brain\u00a0and\u00a0complex\u00a0networks:\u00a0https:\/\/ieeexplore.ieee.org\/document\/11417306\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_self\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->\n\n<!-- wp:spacer {\"height\":\"30px\",\"epAnimationGeneratedClass\":\"edplus_anim-TFmkrs\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-bDi8Oq\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Autors: <a href=\"https:\/\/sano.science\/people\/joan-falco-roget\/\" type=\"people\" id=\"1570\">Joan Falc\u00f3-Roget<\/a>; Kacper Jurek; Barbara Wojtarowicz; <a href=\"https:\/\/sano.science\/people\/karol-capala\/\" type=\"people\" id=\"690\">Karol Capa\u0142a<\/a>; Katarzyna Rycerz <\/p>\n<!-- \/wp:paragraph -->","post_title":"Modularity Maximization and Community Detection in Complex Networks Through Recursive and Hierarchical Annealing in the DWAVE Advantage Quantum Processing Units","post_excerpt":"Published in IEEE Transactions on Network Science and Engineering, 2026","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"modularity-maximization-and-community-detection-in-complex-networks-through-recursive-and-hierarchical-annealing-in-the-dwave-advantage-quan","to_ping":"","pinged":"","post_modified":"2026-03-24 11:45:17","post_modified_gmt":"2026-03-24 10:45:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=30090","menu_order":0,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14877,"post_author":"5","post_date":"2024-01-12 16:54:55","post_date_gmt":"2024-01-12 15:54:55","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-cJfJqD\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Karol Capa\u0142a, Piotr Szymczak<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-GbY76f\",\"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-6gQDuu\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Knotted proteins, when forced through the pores, can get stuck if the knots in their backbone tighten under force. Alternatively, the knot can slide off the chain, making translocation possible. We construct a simple energy landscape model of this process with a time-periodic potential that mimics the action of a molecular motor. We calculate the translocation time as a function of the period of the pulling force, discuss the asymptotic limits and biological relevance of the results.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-GbY76f\",\"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_65a160b8af19b\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.106.054406\",\"_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":"A Stochastic Model of Translocation of Knotted Proteins","post_excerpt":"In: Physical Review E, 2022.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"a-stochastic-model-of-translocation-of-knotted-proteins","to_ping":"","pinged":"","post_modified":"2024-01-12 16:54:56","post_modified_gmt":"2024-01-12 15:54:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=14877","menu_order":47,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":15077,"post_author":"5","post_date":"2024-01-18 20:41:45","post_date_gmt":"2024-01-18 19:41:45","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-2YJ2Yv\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Karol Capa\u0142a, Bart\u0142omiej Dybiec<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-V7EP5L\",\"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_65a97eebc6d61\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/pubs.aip.org\/aip\/cha\/article-abstract\/33\/10\/103124\/2916701\/Optimization-of-escape-kinetics-by-reflecting-and?redirectedFrom=fulltext\",\"_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":"Optimization of escape kinetics by reflecting and resetting","post_excerpt":"In: Chaos, 2023.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"optimization-of-escape-kinetics-by-reflecting-and-resetting","to_ping":"","pinged":"","post_modified":"2024-01-18 20:41:45","post_modified_gmt":"2024-01-18 19:41:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=15077","menu_order":4,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12905,"post_author":"5","post_date":"2023-07-25 22:09:27","post_date_gmt":"2023-07-25 20:09:27","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-IxLYNe\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\"><strong>Alfredo Ibias, Varun Ravi Varma, Karol Capa\u0142a, Luca Gherardini, Jose Sousa<\/strong> <\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-G8C2CJ\",\"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-D5g7jz\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">In personalized health, small datasets with missing data are quite common. Current Machine Learning methods are unable to process such datasets in a meaningful way due to the huge data volume requirement. To address this problem, we propose a new Small and iNcomplete Dataset Analyser (SaNDA) to process such datasets in a meaningful way. Due to the characteristics of these datasets and the criticality of the domain, an explainable method is mandatory to facilitate decision-making interpretation. Thus, SaNDA prioritises explainability over efficiency by design. We evaluated our proposal against Random Forest as a baseline for explainable methods, and against gcForest as state-of-the-art for small datasets. We observed that our proposal outperforms Random Forest when there is more missing data and\/or a lower number of entries in the dataset, obtaining less favourable results over larger, well-curated datasets. It is also preferable than gcForest due to its explainability and privacy protection capabilities. Given the difficulties in obtaining complete, reliable data in the healthcare field, we consider that our proposal could be useful for practitioners.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-Zsu9XH\",\"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_64ca5efe15ebe\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025523006631\",\"_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":"SaNDA: A small and iNcomplete dataset analyser","post_excerpt":"In: Information Sciences, 2023","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"sanda-a-small-and-incomplete-dataset-analyser","to_ping":"","pinged":"","post_modified":"2024-01-05 13:39:25","post_modified_gmt":"2024-01-05 12:39:25","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=12905","menu_order":6,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/690","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":6,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/690\/revisions"}],"predecessor-version":[{"id":30104,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/690\/revisions\/30104"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/17572"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=690"}],"wp:term":[{"taxonomy":"people_teams","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people_teams?post=690"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}