{"645077":{"#nid":"645077","#data":{"type":"news","title":"Mayya Zhilova Receives NSF CAREER Award","body":[{"value":"\u003Cp\u003EAn assistant professor in the School of Mathematics is receiving a 2021\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/funding\/pgm_summ.jsp?pims_id=503214\u0022\u003ENational Science Foundation Faculty Early Career Development Program (NSF CAREER) Award\u003C\/a\u003E\u0026nbsp;for research into promising aspects of statistical analysis, and for her outreach and mentorship plans for students and high schoolers from underrepresented communities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/people.math.gatech.edu\/~mzhilova7\/\u0022\u003EMayya Zhilova\u003C\/a\u003E\u0026rsquo;s NSF project,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2048028\u0026amp;HistoricalAwards=false\u0022\u003E\u0026ldquo;New Challenges in High-Dimensional and Nonparametric Statistics\u003C\/a\u003E,\u0026rdquo; will \u0026ldquo;address challenging open questions in high-dimensional and nonparametric statistics motivated by practical applications in finance, engineering, and life sciences,\u0026rdquo; as Zhilova writes in her abstract.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EContemporary problems concerned with analysis of complex and high-dimensional data sets require to address numerous questions about fundamental concepts in statistics, data science, and related fields. This is particularly relevant for high-dimensional and nonparametric statistics. In high-dimensional statistics, one studies problems involving data sets with a large complexity or dimensionality that can be much larger than an amount of available information.\u0026nbsp;Methods that are used in nonparametric statistics typically impose much weaker assumptions on a statistical model than the parametric statistics does. In general, this leads to a smaller modeling error and to a broader range of applications, or real-life problems, where these methods can be used.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhilova adds in her abstract: \u0026ldquo;The project is focused on development of new methods of statistical inference for complex data sets providing high accuracy and explicit theoretical guarantees. This includes (i) development of a novel framework for statistical inference that will considerably extend the range of applicability of some of the major statistical methods; (ii) studies of performance of resampling methods in a high-dimensional framework; and (iii) studies of intrinsic properties of high-dimensional models that ensure good performance of the statistical methods.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe educational aspect of Zhilova\u0026rsquo;s NSF CAREER project includes mentorship of graduate and undergraduate students, summer camps in statistics and data science for STEM-oriented high school students, and a workshop\/graduate school offering on high-dimensional statistics and learning theory for junior researchers. Zhilova notes that special attention will be given to supporting students and researchers from underrepresented minorities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe NSF CAREER Program is one of the Foundation\u0026rsquo;s most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education, and to lead advances in the mission of their department or organization. The\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nsf.gov\/pubs\/2020\/nsf20525\/nsf20525.htm\u0022\u003ENSF notes\u003C\/a\u003E\u0026nbsp;that activities pursued by early-career faculty recipients should build a firm foundation for a lifetime of leadership in integrating education and research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EZhilova began work at the School of Mathematics at Georgia Tech in 2016, and is an affiliate faculty member of the\u0026nbsp;\u003Ca href=\u0022https:\/\/ml.gatech.edu\/\u0022\u003ECenter for Machine Learning at Georgia Tech\u003C\/a\u003E\u0026nbsp;and the\u0026nbsp;\u003Ca href=\u0022https:\/\/triad.gatech.edu\/\u0022\u003ETransdisciplinary Research Institute for Advancing Data Science (TRIAD)\u003C\/a\u003E. Before coming to Atlanta, Zhilova was a researcher at the Weierstrass Institute for Applied Analysis and Stochastics, and at the School of Business and Economics at the Humboldt University of Berlin. She received her M.S. from the Lomonosov Moscow State University, and her Ph.D. from the Humboldt University of Berlin.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"Award-winning plan will study challenging problems in contemporary statistics and data science, and includes mentorship and educational activities for junior researchers and high school students."}],"field_summary":[{"value":"\u003Cp\u003EA project to study new forms of analyzing data called non-parametric statistics wins Mayya Zhilova, assistant professor in the School of Mathematics, an NSF CAREER Award. The honor, which recognizes early career scientists and their achievements, will include a teaching element for public school students and higher education.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Award-winning plan will study challenging problems in contemporary statistics and data science, and includes mentorship and educational activities for junior researchers and high school students."}],"uid":"34518","created_gmt":"2021-03-08 15:42:33","changed_gmt":"2021-03-09 21:21:18","author":"sbarone7","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-02-26T00:00:00-05:00","iso_date":"2021-02-26T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"645076":{"id":"645076","type":"image","title":"mayya_slide","body":null,"created":"1615218060","gmt_created":"2021-03-08 15:41:00","changed":"1615218060","gmt_changed":"2021-03-08 15:41:00","alt":"","file":{"fid":"244919","name":"mayya_slide.png","image_path":"\/sites\/default\/files\/images\/mayya_slide.png","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/mayya_slide.png","mime":"image\/png","size":69948,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/mayya_slide.png?itok=3d2BvH4G"}},"644763":{"id":"644763","type":"image","title":"Mayya Zhilova","body":null,"created":"1614370237","gmt_created":"2021-02-26 20:10:37","changed":"1614370237","gmt_changed":"2021-02-26 20:10:37","alt":"","file":{"fid":"244802","name":"Mayya Zhilova.png","image_path":"\/sites\/default\/files\/images\/Mayya%20Zhilova.png","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/Mayya%20Zhilova.png","mime":"image\/png","size":159196,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Mayya%20Zhilova.png?itok=d0qKq818"}}},"media_ids":["645076","644763"],"groups":[{"id":"1279","name":"School of Mathematics"}],"categories":[{"id":"134","name":"Student and Faculty"}],"keywords":[{"id":"4896","name":"College of Sciences"},{"id":"168854","name":"School of Mathematics"},{"id":"187131","name":"Mayya Zhilova"},{"id":"187132","name":"non-parametric statistics"},{"id":"187133","name":"parametric statistics"},{"id":"33291","name":"data analysis"},{"id":"187134","name":"high dimensional data"},{"id":"173647","name":"_for_math_site_"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ERenay San Miguel\u003Cbr \/\u003E\r\nCommunications Officer II\/Science Writer\u003Cbr \/\u003E\r\nCollege of Sciences\u003Cbr \/\u003E\r\n\u003Ca href=\u0022tel:404-894-5209\u0022\u003E404-894-5209\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["renay.san@cos.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}