{"id":5807,"date":"2023-05-12T10:44:28","date_gmt":"2023-05-12T14:44:28","guid":{"rendered":"https:\/\/health.uconn.edu\/population-health\/?page_id=5807"},"modified":"2023-07-05T12:59:51","modified_gmt":"2023-07-05T16:59:51","slug":"boyang-tang-2","status":"publish","type":"page","link":"https:\/\/health.uconn.edu\/population-health\/boyang-tang-2\/","title":{"rendered":"Boyang Tang"},"content":{"rendered":"<div id=\"pl-5807\"  class=\"panel-layout\" ><div id=\"pg-5807-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-5807-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-5807-0-0-0\" 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:boyang.tang@uconn.edu\">boyang.tang@uconn.edu<\/a><\/p>\n<p><strong>Boyang Tang <\/strong>is genuinely interested in statistical modeling, predictive analytics, and machine learning, aiming to use these tools to derive meaningful insights from complex datasets.\u00a0 In his professional role, he has undertaken the challenge of developing predictive models for diverse outcomes. His work includes predicting suicide behavior using medical data, estimating university rankings, and forecasting student retention rates. He employs advanced statistical methods, including penalized regression, model fusion, and the MCMC method, in his pursuit of accurate and reliable predictions. While he is proficient in various platforms and languages, including R, Python, Boyang continually strives to enhance his expertise and broaden his knowledge in various statistical models.<\/p>\n<p>BS, <span>Statistics, <\/span>\u00a0University of North Carolina- Chapel Hill<br \/>\nMS, Data Science, University of Wisconsin-Madison<\/p>\n<\/div><\/div><\/div><div id=\"pgc-5807-0-1\"  class=\"panel-grid-cell\" ><div id=\"panel-5807-0-1-0\" 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\/BTang_action.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/BTang_action-300x297.jpg\" alt=\"Boyang Tang\" width=\"300\" height=\"297\" class=\"alignnone size-medium wp-image-5432\" srcset=\"https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/BTang_action-300x297.jpg 300w, https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/BTang_action-150x150.jpg 150w, https:\/\/health.uconn.edu\/population-health\/wp-content\/uploads\/sites\/210\/2023\/05\/BTang_action.jpg 546w\" 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 boyang.tang@uconn.edu Boyang Tang is genuinely interested in statistical modeling, predictive analytics, and machine learning, aiming to use these tools to derive meaningful insights from complex datasets.\u00a0 In his professional role, he has undertaken the challenge of developing predictive models for diverse outcomes. His work includes predicting suicide [&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":"2026-04-28 04:14:35","action":"change-status","newStatus":"draft","terms":[],"taxonomy":""},"_links":{"self":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5807"}],"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=5807"}],"version-history":[{"count":2,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5807\/revisions"}],"predecessor-version":[{"id":6053,"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/pages\/5807\/revisions\/6053"}],"wp:attachment":[{"href":"https:\/\/health.uconn.edu\/population-health\/wp-json\/wp\/v2\/media?parent=5807"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}