{"id":51906,"date":"2025-02-26T12:53:15","date_gmt":"2025-02-26T17:53:15","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ams\/?post_type=news&#038;p=51906"},"modified":"2025-02-26T12:53:15","modified_gmt":"2025-02-26T17:53:15","slug":"diaz-receives-nsf-career-award-to-advance-data-science-optimization","status":"publish","type":"news","link":"https:\/\/engineering.jhu.edu\/ams\/news\/diaz-receives-nsf-career-award-to-advance-data-science-optimization\/","title":{"rendered":"Diaz receives NSF CAREER award to advance data science optimization"},"content":{"rendered":"<p style=\"font-weight: 400;\"><a href=\"https:\/\/engineering.jhu.edu\/ams\/faculty\/mateo-diaz\/\">Mateo Diaz<\/a>, assistant professor in the Department of Applied Mathematics and Statistics at the <a href=\"https:\/\/engineering.jhu.edu\/\">Whiting School of Engineering<\/a>, has been named a recipient of the <a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2442615&amp;HistoricalAwards=false\">National Science Foundation<\/a>\u2019s <span>\u00a0<\/span><a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2442615&amp;HistoricalAwards=false\">(NSF) Early CAREER<\/a> award, which recognizes early-stage scholars with high levels of promise and excellence.<\/p>\n<p style=\"font-weight: 400;\"><span>\u00a0<\/span>Diaz\u2019s project, \u201c<a href=\"https:\/\/www.nsf.gov\/awardsearch\/showAward?AWD_ID=2442615&amp;HistoricalAwards=false\">Scalable Optimization for Data Science: Complexity and Structure<\/a>,\u201d aims to advance optimization theory and algorithms to address modern data science challenges across sectors such as health care, energy, and finance. <span>\u00a0<\/span>It focuses on understanding why certain simple heuristics, like stochastic gradient descent, perform remarkably well in nonconvex, nonsmooth settings, while traditional methods struggle to scale.<\/p>\n<p style=\"font-weight: 400;\">\u201cThe CAREER award will allow us to develop tools that analyze the computational and statistical complexity of widely used heuristics and, from these insights, design new algorithms that avoid common computational pitfalls,\u201d said Diaz.<\/p>\n","protected":false},"template":"","class_list":["post-51906","news","type-news","status-publish","hentry","news_categories-awards-and-honors"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Diaz receives NSF CAREER award to advance data science optimization | Department of Applied Mathematics and Statistics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/ams\/news\/diaz-receives-nsf-career-award-to-advance-data-science-optimization\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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