{"id":40038,"date":"2021-10-12T01:55:48","date_gmt":"2021-10-12T05:55:48","guid":{"rendered":"https:\/\/research.uga.edu\/news\/?p=40038"},"modified":"2021-10-11T14:48:41","modified_gmt":"2021-10-11T18:48:41","slug":"ma-applies-statistical-solutions-to-real-world-problems","status":"publish","type":"post","link":"https:\/\/research.uga.edu\/news\/ma-applies-statistical-solutions-to-real-world-problems\/","title":{"rendered":"Ma applies statistical solutions to real-world problems"},"content":{"rendered":"<p>\u201cNow [that] we live in a digital age, these data are coming in endlessly, continuously. How do we handle these new situations?\u201d<\/p>\n<p><a href=\"https:\/\/www.stat.uga.edu\/directory\/people\/ping-ma\" target=\"_blank\" rel=\"noopener\">Ping Ma<\/a>, professor in the Department of Statistics, is a world leader in developing statistics, machine learning and data science tools to address modern scientific problems. With rapid advances in technology, the volume of information that scientists can collect has increased dramatically, but these giant datasets often require powerful supercomputers for effective analysis. In a true breakthrough, Ma developed algorithms that enable scientists who lack supercomputing access to analyze big data using personal computers and even iPads and smartphones. He is a pioneer in introducing so-called \u201cnonparametric\u201d theory and methods to \u201clet data decide the optimal model automatically.\u201d And he has collaborated productively with scientists from a variety of fields, allowing them to draw valid conclusions and predictions from experimental and observational data, including those of seismic data based on dynamics of the Earth, streaming data from the Internet of Things, and epigenetic modifications unique to every individual.<\/p>\n<p>Ping Ma was named a Distinguished Research Professor in 2021. Learn more about the <a title=\"https:\/\/research.uga.edu\/research-awards\/\" href=\"https:\/\/research.uga.edu\/research-awards\/\">UGA Research Awards<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>UGA statistician Ping Ma, a world leader in developing statistics, machine learning and data science tools to address modern scientific problems, was named a 2021 Distinguished Research Professor. <\/p>\n","protected":false},"author":121,"featured_media":40055,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"watch-single.php","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[306],"tags":[],"post_medium":[315],"publications":[],"authors":[401],"photographers":[],"video_credit":[730],"takeaways":[],"class_list":["post-40038","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-computing","post_medium-watch","authors-john-h-tibbetts","video_credit-activationsphotoandvideo-com","entry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/posts\/40038","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/users\/121"}],"replies":[{"embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/comments?post=40038"}],"version-history":[{"count":0,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/posts\/40038\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/media\/40055"}],"wp:attachment":[{"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/media?parent=40038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/categories?post=40038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/tags?post=40038"},{"taxonomy":"post_medium","embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/post_medium?post=40038"},{"taxonomy":"publications","embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/publications?post=40038"},{"taxonomy":"authors","embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/authors?post=40038"},{"taxonomy":"photographers","embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/photographers?post=40038"},{"taxonomy":"video_credit","embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/video_credit?post=40038"},{"taxonomy":"takeaways","embeddable":true,"href":"https:\/\/research.uga.edu\/news\/wp-json\/wp\/v2\/takeaways?post=40038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}