{"id":5454,"date":"2023-05-12T10:44:28","date_gmt":"2023-05-12T14:44:28","guid":{"rendered":"https:\/\/health.uconn.edu\/population-health\/?page_id=5454"},"modified":"2023-07-05T12:56:15","modified_gmt":"2023-07-05T16:56:15","slug":"jun-jin","status":"publish","type":"page","link":"https:\/\/health.uconn.edu\/population-health\/jun-jin\/","title":{"rendered":"Jun Jin"},"content":{"rendered":"<div id=\"pl-5454\"  class=\"panel-layout\" ><div id=\"pg-5454-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-5454-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-5454-0-0-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child panel-last-child\" data-index=\"0\" ><div class=\"textwidget\"><p><span><b>Graduate Assistant, <\/b>Department of Statistics, University of Connecticut<\/span><\/p>\n<p><a href=\"mailto:jun.jin@uconn.edu\">jun.jin@uconn.edu<\/a><\/p>\n<p><strong>Jun Jin's<\/strong> has\u00a0several research interests including transfer learning, integrative statistical learning, public health and healthcare analytics, machine learning, and big data inference. Jun's work is centered around the utilization and analysis of complex data sets from various sources to improve understanding and predictive capabilities in fields such as EHR data analysis and 3D printing materials. Jun's excellence in research and academics has been recognized with awards such as the Mark of Excellence Award (Ph.D. qualifying exam), Best Performance in Inference Award from the Department of Statistics, University of Connecticut, and the Honorable Mention Award in the section of Risk Analysis of the ASA Student Paper Competition.<\/p>\n<p>BS, <span>Statistics, <\/span>\u00a0East China Normal University<\/p>\n<p><strong>Google Scholar Profile:<\/strong> <a href=\"https:\/\/scholar.google.com\/citations?user=0e7N1xMAAAAJ&amp;hl=en\" class=\"broken_link\">https:\/\/scholar.google.com\/citations?user=0e7N1xMAAAAJ&amp;hl=en<\/a><\/p>\n<\/div><\/div><\/div><div id=\"pgc-5454-0-1\"  class=\"panel-grid-cell\" ><div id=\"panel-5454-0-1-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child panel-last-child\" data-index=\"1\" ><div class=\"textwidget\"><p style=\"text-align: right;\"><a href=\"https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/JJin_action.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/JJin_action-300x225.jpg\" alt=\"Jun (Bruce) Jin\" width=\"300\" height=\"225\" class=\"alignnone size-medium wp-image-5457\" srcset=\"https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/JJin_action-300x225.jpg 300w, https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/JJin_action-1024x768.jpg 1024w, https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/JJin_action-768x576.jpg 768w, https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/JJin_action-1536x1152.jpg 1536w, https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/JJin_action-2048x1536.jpg 2048w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Graduate Assistant, Department of Statistics, University of Connecticut jun.jin@uconn.edu Jun Jin&#8217;s has\u00a0several research interests including transfer learning, integrative statistical learning, public health and healthcare analytics, machine learning, and big data inference. Jun&#8217;s work is centered around the utilization and analysis of complex data sets from various sources to improve understanding and predictive capabilities in fields [&hellip;]<\/p>\n","protected":false},"author":1235,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-04-22 16:34:49","action":"change-status","newStatus":"draft","terms":[],"taxonomy":""},"_links":{"self":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5454"}],"collection":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/users\/1235"}],"replies":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/comments?post=5454"}],"version-history":[{"count":7,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5454\/revisions"}],"predecessor-version":[{"id":6051,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5454\/revisions\/6051"}],"wp:attachment":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/media?parent=5454"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}