{"id":822,"date":"2021-05-12T23:02:47","date_gmt":"2021-05-12T23:02:47","guid":{"rendered":"https:\/\/pydata21.wpengine.com\/?page_id=822"},"modified":"2023-02-16T17:38:09","modified_gmt":"2023-02-16T17:38:09","slug":"keynotes","status":"publish","type":"page","link":"https:\/\/pydata.org\/seattle2023\/keynotes\/","title":{"rendered":"Keynote Speakers"},"content":{"rendered":"<p>[vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;200px&#8221;]<div class=\"no-padding-rl no-padding-top padding-8\">\n                <div class=\"text-center\"><h3 class=\"font-family-alt font-weight-700 letter-spacing-2 text-uppercase xs-title-small title-medium title-sideline-base-color\">Thanks to This Year's Keynote Speakers<\/h3><\/div>\n            <\/div>[\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text el_id=&#8221;NaomiCedar&#8221;]<img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1468 aligncenter\" src=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/Holden-Karau-square-1.png\" alt=\"\" width=\"200\" height=\"200\" srcset=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/Holden-Karau-square-1.png 200w, https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/Holden-Karau-square-1-150x150.png 150w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<\/p>\n<h2><strong>Holden Karau<\/strong><\/h2>\n<p>Holden is a transgender Canadian open source developer with a focus on Apache Spark, Airflow, Kubeflow, Ray, Dask and related &#8220;big data&#8220; tools. She is the co-author of Learning Spark, High Performance Spark, Scaling Python with Ray, and Kubeflow for Machine Learning. She is a committer and PMC on Apache Spark. She was tricked into the world of big data while trying to improve search and recommendation systems and has long since forgotten her original goal. She has worked at Amazon, Apple, and Google and is now working at Netflix.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;2\/3&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<\/p>\n<h2><strong>Peter Wang<\/strong><\/h2>\n<p>Peter Wang is the CEO and co-founder of Anaconda, and helped found the PyData conferences and global community. Prior to starting Anaconda, Peter worked as a software engineer in scientific computing and visualization. He has extensive experience in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging. Peter holds a BA in Physics from Cornell University.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_empty_space][vc_column_text]<img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1470 aligncenter\" src=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/1516306488801.jpg\" alt=\"\" width=\"200\" height=\"200\" srcset=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/1516306488801.jpg 200w, https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/1516306488801-150x150.jpg 150w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space][vc_empty_space][vc_column_text]<img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1469 aligncenter\" src=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/travis-oliphant-200px.jpg\" alt=\"\" width=\"200\" height=\"200\" srcset=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/travis-oliphant-200px.jpg 200w, https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/travis-oliphant-200px-150x150.jpg 150w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<\/p>\n<h2><strong>Travis Oliphant<\/strong><\/h2>\n<p>Dr. Oliphant has a Ph.D. in Biomedical Engineering from the Mayo Clinic, and M.S. and B.S. degrees in Electrical Engineering (and Math) from Brigham Young University. Travis has worked extensively with Python for numerical and scientific programming since 1997, and was the primary developer of the NumPy package and the author of the definitive Guide to NumPy. He is also the primary founding author of the SciPy package. During his academic career, he has worked in the fields of satellite remote sensing, Magnetic Resonance Imaging (MRI), Ultrasound, elastography, and general inverse problems. He was an Assistant Professor of Electrical and Computer Engineering at Brigham Young University from 2001 to 2007 where he taught courses in probability theory, electromagnetics, inverse problems, and signal processing. In addition, he directed the BYU Biomedical Imaging Lab, and performed research on scanning impedance imaging. He has done consulting work since 1997 in laser scattering off of semiconductors, sparse matrix calculations for search engines, and mesh transformations for fluid dynamics. Dr. Oliphant served as President of Enthought from 2007 until 2011, where he oversaw the establishment of additional satellite offices in New York City, Belgium, Cambridge UK, and Mumbai, India. During this time, he worked with Fortune 50 companies such as Shell, J.P. Morgan, and Proctor and Gamble in all aspects of the contractual relationship \u2013 from contracts to training to code architecture and code development. He also served on the Board of Directors for Enthought from 2008 until 2011, and during that time, formed strong connections with J.P. Morgan technical leadership staff and other industry leaders.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator color=&#8221;peacoc&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;2\/3&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<\/p>\n<h2><strong>Katrina Riehl<\/strong><\/h2>\n<p>Dr. Katrina Riehl is President of the Board of Directors at NumFOCUS, Head of the Streamlit Data Team at Snowflake, and Adjunct Lecturer at Georgetown University. For almost two decades, Katrina has worked extensively in the fields of scientific computing, machine learning, data mining, and visualization. Most notably, she has helped lead data science efforts at the University of Texas Austin Applied Research Laboratory, Apple, HomeAway (now, Vrbo), and Cloudflare.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1471 aligncenter\" src=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/Katrina-Riehl.jpg\" alt=\"\" width=\"200\" height=\"200\" srcset=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/Katrina-Riehl.jpg 200w, https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2023\/02\/Katrina-Riehl-150x150.jpg 150w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;200px&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text el_id=&#8221;NaomiCedar&#8221;][\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text] Holden Karau Holden is a transgender Canadian open source developer with a focus on Apache Spark, Airflow, Kubeflow, Ray, Dask and related &#8220;big data&#8220; tools. She is the co-author of Learning Spark, High Performance Spark, Scaling Python with Ray, [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":1434,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-822","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Keynote Speakers | PyData Seattle 2023<\/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:\/\/pydata.org\/seattle2023\/keynotes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Keynote Speakers | PyData Seattle 2023\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;200px&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text el_id=&#8221;NaomiCedar&#8221;][\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text] Holden Karau Holden is a transgender Canadian open source developer with a focus on Apache Spark, Airflow, Kubeflow, Ray, Dask and related &#8220;big data&#8220; tools. She is the co-author of Learning Spark, High Performance Spark, Scaling Python with Ray, [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/pydata.org\/seattle2023\/keynotes\/\" \/>\n<meta property=\"og:site_name\" content=\"PyData Seattle 2023\" \/>\n<meta property=\"article:modified_time\" content=\"2023-02-16T17:38:09+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/10\/PyData_logo.png\" \/>\n\t<meta property=\"og:image:width\" content=\"11602\" \/>\n\t<meta property=\"og:image:height\" content=\"4858\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/pydata.org\/seattle2023\/keynotes\/\",\"url\":\"https:\/\/pydata.org\/seattle2023\/keynotes\/\",\"name\":\"Keynote Speakers | PyData Seattle 2023\",\"isPartOf\":{\"@id\":\"https:\/\/pydata.org\/seattle2023\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/pydata.org\/seattle2023\/keynotes\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/pydata.org\/seattle2023\/keynotes\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/10\/PyData_logo.png\",\"datePublished\":\"2021-05-12T23:02:47+00:00\",\"dateModified\":\"2023-02-16T17:38:09+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/pydata.org\/seattle2023\/keynotes\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/pydata.org\/seattle2023\/keynotes\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/pydata.org\/seattle2023\/keynotes\/#primaryimage\",\"url\":\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/10\/PyData_logo.png\",\"contentUrl\":\"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/10\/PyData_logo.png\",\"width\":11602,\"height\":4858},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/pydata.org\/seattle2023\/keynotes\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/pydata.org\/seattle2023\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Keynote Speakers\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/pydata.org\/seattle2023\/#website\",\"url\":\"https:\/\/pydata.org\/seattle2023\/\",\"name\":\"PyData Global 2021\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/pydata.org\/seattle2023\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/pydata.org\/seattle2023\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/pydata.org\/seattle2023\/#organization\",\"name\":\"PyData Global 2021\",\"url\":\"https:\/\/pydata.org\/seattle2023\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/pydata.org\/seattle2023\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/pydata21.wpengine.com\/wp-content\/uploads\/2021\/01\/favicon.png\",\"contentUrl\":\"https:\/\/pydata21.wpengine.com\/wp-content\/uploads\/2021\/01\/favicon.png\",\"width\":512,\"height\":512,\"caption\":\"PyData Global 2021\"},\"image\":{\"@id\":\"https:\/\/pydata.org\/seattle2023\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Keynote Speakers | PyData Seattle 2023","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/pydata.org\/seattle2023\/keynotes\/","og_locale":"en_US","og_type":"article","og_title":"Keynote Speakers | PyData Seattle 2023","og_description":"[vc_row][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_empty_space height=&#8221;200px&#8221;][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text el_id=&#8221;NaomiCedar&#8221;][\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text] Holden Karau Holden is a transgender Canadian open source developer with a focus on Apache Spark, Airflow, Kubeflow, Ray, Dask and related &#8220;big data&#8220; tools. She is the co-author of Learning Spark, High Performance Spark, Scaling Python with Ray, [&hellip;]","og_url":"https:\/\/pydata.org\/seattle2023\/keynotes\/","og_site_name":"PyData Seattle 2023","article_modified_time":"2023-02-16T17:38:09+00:00","og_image":[{"width":11602,"height":4858,"url":"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/10\/PyData_logo.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_image":"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/03\/cropped-PyData_logo_ICON.png","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/pydata.org\/seattle2023\/keynotes\/","url":"https:\/\/pydata.org\/seattle2023\/keynotes\/","name":"Keynote Speakers | PyData Seattle 2023","isPartOf":{"@id":"https:\/\/pydata.org\/seattle2023\/#website"},"primaryImageOfPage":{"@id":"https:\/\/pydata.org\/seattle2023\/keynotes\/#primaryimage"},"image":{"@id":"https:\/\/pydata.org\/seattle2023\/keynotes\/#primaryimage"},"thumbnailUrl":"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/10\/PyData_logo.png","datePublished":"2021-05-12T23:02:47+00:00","dateModified":"2023-02-16T17:38:09+00:00","breadcrumb":{"@id":"https:\/\/pydata.org\/seattle2023\/keynotes\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/pydata.org\/seattle2023\/keynotes\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/pydata.org\/seattle2023\/keynotes\/#primaryimage","url":"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/10\/PyData_logo.png","contentUrl":"https:\/\/pydata.org\/seattle2023\/wp-content\/uploads\/2022\/10\/PyData_logo.png","width":11602,"height":4858},{"@type":"BreadcrumbList","@id":"https:\/\/pydata.org\/seattle2023\/keynotes\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/pydata.org\/seattle2023\/"},{"@type":"ListItem","position":2,"name":"Keynote Speakers"}]},{"@type":"WebSite","@id":"https:\/\/pydata.org\/seattle2023\/#website","url":"https:\/\/pydata.org\/seattle2023\/","name":"PyData Global 2021","description":"","publisher":{"@id":"https:\/\/pydata.org\/seattle2023\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/pydata.org\/seattle2023\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/pydata.org\/seattle2023\/#organization","name":"PyData Global 2021","url":"https:\/\/pydata.org\/seattle2023\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/pydata.org\/seattle2023\/#\/schema\/logo\/image\/","url":"https:\/\/pydata21.wpengine.com\/wp-content\/uploads\/2021\/01\/favicon.png","contentUrl":"https:\/\/pydata21.wpengine.com\/wp-content\/uploads\/2021\/01\/favicon.png","width":512,"height":512,"caption":"PyData Global 2021"},"image":{"@id":"https:\/\/pydata.org\/seattle2023\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/pydata.org\/seattle2023\/wp-json\/wp\/v2\/pages\/822","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pydata.org\/seattle2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pydata.org\/seattle2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pydata.org\/seattle2023\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/pydata.org\/seattle2023\/wp-json\/wp\/v2\/comments?post=822"}],"version-history":[{"count":0,"href":"https:\/\/pydata.org\/seattle2023\/wp-json\/wp\/v2\/pages\/822\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pydata.org\/seattle2023\/wp-json\/wp\/v2\/media\/1434"}],"wp:attachment":[{"href":"https:\/\/pydata.org\/seattle2023\/wp-json\/wp\/v2\/media?parent=822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}