{"id":5612,"date":"2024-02-28T19:19:57","date_gmt":"2024-02-28T19:19:57","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/?page_id=5612"},"modified":"2024-02-28T19:19:58","modified_gmt":"2024-02-28T19:19:58","slug":"stefania-sokolowski","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/stefania-sokolowski\/","title":{"rendered":"Stefania Sokolowski"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-5612\" data-postid=\"5612\" class=\"themify_builder_content themify_builder_content-5612 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_0l52602 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_0ygc603 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_esex603 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Stefania_Sokolowski.jpg\" class=\"wp-post-image wp-image-5314\" title=\"Stefania Sokolowski\" alt=\"Stefania Sokolowski\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Stefania_Sokolowski.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Stefania_Sokolowski-150x150.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Stefania Sokolowski                            <\/h3>\n                    <\/div>\n    <!-- \/image-content -->\n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_g2w3604 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_t7c7604   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Stefania Sokolowski<\/h1>\n<h5>Principal Data Scientist at Memorial Sloan Kettering<\/h5>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_2plz358 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion  glossy tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-2plz358-0\" class=\"tb_title_accordion\" aria-controls=\"acc-2plz358-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Bio<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-2plz358-0-content\" data-id=\"acc-2plz358-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                                    <div class=\"tb_text_wrap\">\n                        <p>Stefania Sokolowski is a Principal Data Scientist within the Applied Data Science team in the Strategy and Innovation division at Memorial Sloan Kettering Cancer Center. In her current position, she leads analytics and machine learning projects, working directly with stakeholders to ensure a smooth execution. Stefania also mentors and manages a team of data scientists.\u00a0<\/p>\n<p>Stefania has worked in the data science and healthcare industries for 10 years. Her areas of expertise include the translation of business problems into analytics, data exploration and visualization, predictive modeling, and data products. She is known for solving hard and vague business problems by deploying a \u201cpractical approach\u201d to data science, which includes building quick and simple prototypes, models, and analyses; then iterating to maximize value and usability.\u00a0<\/p>\n<p>Stefania has a M.A. in Cognitive and Neural Systems and B.A. in Neuroscience from Boston University.<\/p>                    <\/div>\n                            <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"u6fe602\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_u6fe602 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_84q1605 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_k572608 track  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: Implementing Analytics<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_xwmz608   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Why We Should KISS More In Healthcare<\/h2>\n<p>Data scientists often want to use the latest and most sophisticated models and technologies to solve business problems, thinking that the more complicated, the better. However, applying the design principle of \u201cKeep it simple, stupid\u201d (KISS) can result in quicker value to stakeholders\/users, less resources used, and increased application of analytic insights and user tool adoption. KISS is particularly useful in the high-stake healthcare setting where data analytics and science utilize sensitive medical information and often affect patient care delivery. This presentation will go through a few examples of data science\/analytic projects at Memorial Sloan Kettering Cancer Center that demonstrate the value of KISS.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Stefania Sokolowski Principal Data Scientist at Memorial Sloan Kettering<\/p>\n","protected":false},"author":1001140,"featured_media":0,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-5612","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Stefania Sokolowski - 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In her current position, she leads analytics and machine learning projects, working directly with stakeholders to ensure a smooth execution. Stefania also mentors and manages a team of data scientists.\u00a0<\/p> <p>Stefania has worked in the data science and healthcare industries for 10 years. Her areas of expertise include the translation of business problems into analytics, data exploration and visualization, predictive modeling, and data products. She is known for solving hard and vague business problems by deploying a \u201cpractical approach\u201d to data science, which includes building quick and simple prototypes, models, and analyses; then iterating to maximize value and usability.\u00a0<\/p> <p>Stefania has a M.A. in Cognitive and Neural Systems and B.A. in Neuroscience from Boston University.<\/p><\/li><\/ul>\n<h6>Track: Implementing Analytics<\/h6>\n<h2>Why We Should KISS More In Healthcare<\/h2> <p>Data scientists often want to use the latest and most sophisticated models and technologies to solve business problems, thinking that the more complicated, the better. However, applying the design principle of \u201cKeep it simple, stupid\u201d (KISS) can result in quicker value to stakeholders\/users, less resources used, and increased application of analytic insights and user tool adoption. KISS is particularly useful in the high-stake healthcare setting where data analytics and science utilize sensitive medical information and often affect patient care delivery. This presentation will go through a few examples of data science\/analytic projects at Memorial Sloan Kettering Cancer Center that demonstrate the value of KISS.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5612","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/users\/1001140"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/comments?post=5612"}],"version-history":[{"count":2,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5612\/revisions"}],"predecessor-version":[{"id":5614,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5612\/revisions\/5614"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/712"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/media?parent=5612"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}