{"id":295099,"date":"2016-05-25T11:20:15","date_gmt":"2016-05-25T15:20:15","guid":{"rendered":"https:\/\/mlwgs.com\/?p=295099"},"modified":"2016-05-25T11:20:15","modified_gmt":"2016-05-25T15:20:15","slug":"guest-speaker-assistant-harvard-professor-and-mlwgs-alum-tuesday-may-31st-lunchtime-in-the-forum","status":"publish","type":"post","link":"https:\/\/mlwgs.com\/guest-speaker-assistant-harvard-professor-and-mlwgs-alum-tuesday-may-31st-lunchtime-in-the-forum\/","title":{"rendered":"Guest Speaker: Assistant Harvard Professor and MLWGS Alum, Tuesday, May 31st, Lunchtime in the Forum"},"content":{"rendered":"<p>TITLE:\u00a0\u00a0\u00a0\u00a0\u00a0 Reliable Tools for Data Exploration in Healthcare<\/p>\n<p>Dr. Doshi-Velez will talk about some work she\u2019s doing to understand non-identifiability in the context of non-negative matrix factorization (NMF).\u00a0 NMF is a popular tool to do data exploration, and recently she has been doing work to see how robust it is: that is, can there sometimes be two very different explanations for the same data?\u00a0 And if so, how can researchers expose them so that clinical scientists can use them to generate the next study?\u00a0 She will start with some concrete examples, talk about some underlying math, and touch on what students might want to study if they want to do machine learning\/data science in the future.<\/p>\n<p><a href=\"https:\/\/i0.wp.com\/mlwgs.com\/wp-content\/uploads\/2016\/05\/Finale-Doshi.jpg?ssl=1\"><img data-recalc-dims=\"1\" decoding=\"async\" class=\"alignnone size-medium wp-image-295101 lazyload\" data-src=\"https:\/\/i0.wp.com\/mlwgs.com\/wp-content\/uploads\/2016\/05\/Finale-Doshi.jpg?resize=200%2C300&#038;ssl=1\" alt=\"Finale Doshi\" width=\"200\" height=\"300\" data-srcset=\"https:\/\/i0.wp.com\/mlwgs.com\/wp-content\/uploads\/2016\/05\/Finale-Doshi.jpg?w=200&amp;ssl=1 200w, https:\/\/i0.wp.com\/mlwgs.com\/wp-content\/uploads\/2016\/05\/Finale-Doshi.jpg?resize=133%2C200&amp;ssl=1 133w, https:\/\/i0.wp.com\/mlwgs.com\/wp-content\/uploads\/2016\/05\/Finale-Doshi.jpg?resize=120%2C180&amp;ssl=1 120w, https:\/\/i0.wp.com\/mlwgs.com\/wp-content\/uploads\/2016\/05\/Finale-Doshi.jpg?resize=179%2C268&amp;ssl=1 179w\" data-sizes=\"(max-width: 200px) 100vw, 200px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 200px; --smush-placeholder-aspect-ratio: 200\/300;\" \/><\/a>\u201cFinale Doshi-Velez is excited about methods to turn data into\u00a0actionable knowledge.\u00a0\u00a0Her core research in machine learning,\u00a0computational statistics, and data science is inspired by&#8212;and often\u00a0applied to&#8212;the objective of accelerating scientific progress and\u00a0practical impact in healthcare and other domains.\u00a0 Specifically, she is interested in questions such as: How can we\u00a0design robust, principled models to combine complex data sets with\u00a0other knowledge sources?\u00a0\u00a0How can we design models that summarize and\u00a0generate hypotheses from such data?\u00a0\u00a0How can we characterize the\u00a0uncertainty in large, heterogeneous data to provide better support for\u00a0decisions?\u00a0\u00a0Finale Doshi-Velez is interested in developing the\u00a0probabilistic methods to address these questions. \u00a0Prior to joining SEAS, Finale Doshi-Velez was an NSF CI-TRaCS\u00a0Postdoctoral Fellow at the Center for Biomedical Informatics at\u00a0Harvard Medical School.\u00a0\u00a0She was a Marshall Scholar at Trinity\u00a0College, Cambridge from 2007-2009, and she was named one of IEEE&#8217;s &#8220;AI Top 10 to Watch&#8221; in 2013.\u201d<\/p>\n<p><a href=\"https:\/\/www.seas.harvard.edu\/directory\/finale\">https:\/\/www.seas.harvard.edu\/directory\/finale<\/a><\/p>\n<p>Finale graduated from GSGIS in 2001 and earned her PhD from MIT in 2012.\u00a0 She is currently an Assistant Professor of Computer Science at Harvard\u2019s School of Engineering and Applied Sciences.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TITLE:\u00a0\u00a0\u00a0\u00a0\u00a0 Reliable Tools for Data Exploration in Healthcare Dr. Doshi-Velez will talk about some work she\u2019s doing to understand non-identifiability in the context of non-negative matrix factorization (NMF).\u00a0 NMF is [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":381310,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"_tribe_blocks_recurrence_rules":"","_tribe_blocks_recurrence_description":"","_tribe_blocks_recurrence_exclusions":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","_wpscppro_dont_share_socialmedia":false,"_wpscppro_custom_social_share_image":0,"_facebook_share_type":"","_twitter_share_type":"","_linkedin_share_type":"","_pinterest_share_type":"","_linkedin_share_type_page":"","_instagram_share_type":"","_medium_share_type":"","_threads_share_type":"","_google_business_share_type":"","_selected_social_profile":[],"_wpsp_enable_custom_social_template":false,"_wpsp_social_scheduling":{"enabled":false,"datetime":null,"platforms":[],"status":"template_only","dateOption":"today","timeOption":"now","customDays":"","customHours":"","customDate":"","customTime":"","schedulingType":"absolute"},"_wpsp_active_default_template":true},"categories":[8],"tags":[],"class_list":["post-295099","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Guest Speaker: Assistant Harvard Professor and MLWGS Alum, Tuesday, May 31st, Lunchtime in the Forum - Maggie L. Walker Governor&#039;s School<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/mlwgs.com\/guest-speaker-assistant-harvard-professor-and-mlwgs-alum-tuesday-may-31st-lunchtime-in-the-forum\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Guest Speaker: Assistant Harvard Professor and MLWGS Alum, Tuesday, May 31st, Lunchtime in the Forum - Maggie L. 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