{"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":"2022-06-13T13:57:21","modified_gmt":"2022-06-13T13:57:21","slug":"keynotes","status":"publish","type":"page","link":"https:\/\/pydata.org\/london2022\/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; el_id=&#8221;Sylvain&#8221;][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_column_text el_id=&#8221;NaomiCedar&#8221;]<\/p>\n<p style=\"text-align: left;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1498 aligncenter\" src=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/1525602697867-300x300.jpg\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/1525602697867-300x300.jpg 300w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/1525602697867-150x150.jpg 150w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/1525602697867.jpg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<\/p>\n<h3>Sylvain Corlay<\/h3>\n<p>Sylvain Corlay is the founder and CEO of QuantStack. He holds a PhD in applied mathematics from University Paris VI.<\/p>\n<p>As an open-source developer, Sylvain Corlay is active in the Jupyter ecosystem. He is the co-creator of the Voil\u00e0 dashboarding system and the Xeus C++ implementation of the Jupyter kernel protocol, and he maintains several other projects of the Jupyter stack. He is also a core contributor to\u00a0<a href=\"https:\/\/conda-forge.org\/\">conda-forge<\/a>, and a several other scientific computing open-source projects, such as\u00a0<a href=\"https:\/\/github.com\/bqplot\/bqplot\">bqplot<\/a>,\u00a0<a href=\"https:\/\/github.com\/xtensor-stack\/xtensor\">xtensor<\/a>, and\u00a0<a href=\"https:\/\/github.com\/jupyter-widgets\/ipyleaflet\">ipyleaflet<\/a>.<\/p>\n<p>Beyond QuantStack, Sylvain does a lot of volunteer work for the community, as a member of the board of directors of\u00a0<a href=\"https:\/\/numfocus.org\/\">NumFOCUS<\/a>, the vice chair of\u00a0<a href=\"https:\/\/jupytercon.com\/\">JupyterCon<\/a>. He also co-organizes the\u00a0<a href=\"https:\/\/www.meetup.com\/PyData-Paris\/\">PyData Paris Meetup<\/a>.<\/p>\n<p>Sylvain founded QuantStack in September 2016. Prior to founding QuantStack, he was a Quant Researcher at Bloomberg and an Adjunct Faculty member at the Courant Institute and Columbia University.[\/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][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243; el_id=&#8221;Tania&#8221;][vc_column width=&#8221;3\/4&#8243; css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_column_text]<\/p>\n<h3>Tania Allard, PhD<\/h3>\n<p>Tania is the co-director at Quansight Labs and previous Sr. Developer Advocate at Microsoft. She has vast experience in academic research and industrial environments. Her main areas of expertise are within data-intensive applications, scientific computing, and machine learning. Tania has conducted extensive work on the improvement of processes, reproducibility and transparency in research, data science and artificial intelligence. She is passionate about mentoring, open source, and its community and is involved in a number of initiatives aimed to build more diverse and inclusive communities. She is also a contributor, maintainer, and developer of a number of open source projects and the Founder of Pyladies NorthWest.<\/p>\n<p>In her free time she likes tinkering with electronics, nerding with mechanical keyboards, reading all the books and lifting heavy weights.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/4&#8243;][vc_column_text el_id=&#8221;DavidBeazley&#8221;]<\/p>\n<p style=\"text-align: left;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1518 aligncenter\" src=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/Tania-Allard-300x300.jpg\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/Tania-Allard-300x300.jpg 300w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/Tania-Allard-150x150.jpg 150w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/Tania-Allard.jpg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator][\/vc_column][\/vc_row][vc_row opacity_bg_pattern=&#8221;0.1&#8243; el_id=&#8221;Susan&#8221;][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_column_text]<\/p>\n<p style=\"text-align: left;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1540 aligncenter\" src=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/susan-500x500-1-300x300.jpg\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/susan-500x500-1-300x300.jpg 300w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/susan-500x500-1-150x150.jpg 150w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2022\/05\/susan-500x500-1.jpg 500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]<\/p>\n<h3>Dr Susan Mulcahy<\/h3>\n<p>Dr Susan Mulcahy is the Director of the Data Sparks Programme at the\u00a0Imperial College London, the innovative student placement programme matching a real world industry project on data science with a team of our postgraduate students. This programme sits within Imperial Business Analytics, the research centre focused on bringing data science research closer to the world of business. Susan was previously the Senior Education Fellow of the Data Science Institute (DSI) at Imperial where she developed the educational offering of the DSI for internal students and external industry engagements. She is also a Lecturer in Data Analytics at Ada National College for Digital Skills.\u00a0\u00a0Having also facilitated technical courses for corporate clients since 2013, Susan enjoys teaching\/facilitating\/presenting technical topics to a general audience.<\/p>\n<p>Susan received her data-driven PhD from Imperial&#8217;s Bioengineering Department in 2016 where she researched indicators of traumatic brain injury using MATLAB on datasets collecting over 500 million data points per patient per day. In addition to this, she has an MBA from\u00a0<span class=\"mark5w3p8ld3h\">INSEAD<\/span>\u00a0in France and a BSc in Mechanical Engineering from Purdue University in the USA. Susan has been a Fellow of the Royal Geographical Society since 2002.<\/p>\n<p>For outside interests, Susan seeks out adventure. In 1999, she spent three months riding her bicycle across the USA. These days, she can be found rowing weekly on the Thames (anything from singles to 8s, outside of lockdown), hiking up a rugged mountain in the Scottish Highlands, or sleeping in a tent in her back garden in London (which she did for 82 consecutive nights in lockdown v1.0 in search of a local adventure.)<\/p>\n<p>&#8220;Life is either a daring adventure or nothing.&#8221; &#8211; Helen Keller[\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; 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;TravisOliphant&#8221;]<\/p>\n<p style=\"text-align: left;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-814 aligncenter\" src=\"https:\/\/pydatalondon22.wpengine.com\/wp-content\/uploads\/2021\/05\/Screen-Shot-2021-05-12-at-4.12.04-PM-300x294.png\" alt=\"\" width=\"300\" height=\"294\" srcset=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/Screen-Shot-2021-05-12-at-4.12.04-PM-300x294.png 300w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/Screen-Shot-2021-05-12-at-4.12.04-PM.png 688w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space height=&#8221;48px&#8221;][vc_column_text]<\/p>\n<h2><b data-stringify-type=\"bold\">Travis Oliphant <\/b>|\u00a0 FOUNDER &amp; CEO\/CTO AT QUANSIGHT<\/h2>\n<p>Travis is a well-known leader in the Python Data community having authored or led the creation of industry cornerstones such as NumPy, SciPy, Numba, Conda, XND, NumFOCUS, and PyData. Prior to Quansight, he founded Anaconda and established the industry-standard platform for data science and machine learning.[\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; 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><b data-stringify-type=\"bold\">Chelle Gentemann <\/b>| OCEANOGRAPHER &amp; SCIENTIST<\/h2>\n<p>Chelle is a passionate advocate for open science, open source software, and inclusivity.\u00a0 She co-chaired the National Academies\u2019<a class=\"c-link\" href=\"https:\/\/www.nap.edu\/read\/25217\/chapter\/1\" target=\"_blank\" rel=\"noopener noreferrer\" data-stringify-link=\"https:\/\/www.nap.edu\/read\/25217\/chapter\/1\" data-sk=\"tooltip_parent\">\u00a0Report on Open Source Software Policy Options<\/a>\u00a0for NASA Earth and Space Sciences, and in addition to being a full time oceanographer, also leads NASA ESDS Program\u2019s development of open source and open science best practices for NASA researchers. As a physical oceanographer focused on remote sensing, she has worked for over 25 years on retrievals of ocean temperature from space and using that data to understand how the ocean impacts our lives. She is the lead scientist on a proposed new NASA satellite, Butterfly. Her more recent research focuses on using cloud computing for interdisciplinary science, air-sea interaction research, and geophysical algorithm development. She has served on scientific committees, notably as co-chair of a standing committee for the National Academy of Sciences and has presented to a federal house committee on NASA\u2019s implementation of scientific community priorities.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text el_id=&#8221;ChelleGentemann&#8221;]<\/p>\n<p style=\"text-align: left;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-815 aligncenter\" src=\"https:\/\/pydatalondon22.wpengine.com\/wp-content\/uploads\/2021\/05\/gentemann-294x300.jpg\" alt=\"\" width=\"294\" height=\"300\" srcset=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/gentemann-294x300.jpg 294w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/gentemann.jpg 367w\" sizes=\"auto, (max-width: 294px) 100vw, 294px\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; 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;JoeSchmid&#8221;]<\/p>\n<p style=\"text-align: left;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-836 aligncenter\" src=\"https:\/\/pydatalondon22.wpengine.com\/wp-content\/uploads\/2021\/05\/Headshot-Joe-Schmid-Square2-size-300x300.png\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/Headshot-Joe-Schmid-Square2-size-300x300.png 300w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/Headshot-Joe-Schmid-Square2-size-150x150.png 150w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/Headshot-Joe-Schmid-Square2-size.png 454w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space][vc_column_text]<\/p>\n<h2><b data-stringify-type=\"bold\">Joe Schmid <\/b>|\u00a0 CTO AT SYMPHONYRM<\/h2>\n<p>Joe Schmid is Chief Technology Officer at SymphonyRM, a provider of machine learning powered products that help healthcare organizations proactively engage patients. Prior to his current role, Joe lead platform engineering at Victrio (acquired by Verint), a provider of machine learning-based fraud detection systems with card issuers, banks, and merchant acquirers. Joe has served in a number of other engineering roles at technology companies in the areas of data analytics, fraud detection, speech recognition, and mobile computing.[\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; 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_empty_space height=&#8221;48px&#8221;][vc_column_text]<\/p>\n<h2><b data-stringify-type=\"bold\">Grant Gelven <\/b>| STAFF DATA SCIENTIST<\/h2>\n<p>Grant is a data scientist at Walmart Global Tech, product developer, and expert number cruncher with a decade of experience in solving problems with data. Most of Grant\u2019s work is centered around building artificially intelligent applications driven by machine learning models deployed in cloud-based micro-services architectures.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text el_id=&#8221;GrantGelven&#8221;]<\/p>\n<p style=\"text-align: left;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-819 aligncenter\" src=\"https:\/\/pydatalondon22.wpengine.com\/wp-content\/uploads\/2021\/05\/1609446301389-300x300.jpeg\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/1609446301389-300x300.jpeg 300w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/1609446301389-150x150.jpeg 150w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/1609446301389-768x768.jpeg 768w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/1609446301389.jpeg 800w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; opacity_bg_pattern=&#8221;0.1&#8243;][vc_column css=&#8221;.vc_custom_1617310084578{margin-right: 0px !important;margin-left: 0px !important;}&#8221;][vc_separator][\/vc_column][\/vc_row][vc_row disable_element=&#8221;yes&#8221; opacity_bg_pattern=&#8221;0.1&#8243;][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1621278369137{margin-right: 0px !important;margin-left: 0px !important;}&#8221; el_id=&#8221;JieLou&#8221;][vc_column_text]<\/p>\n<p style=\"text-align: left;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-837 aligncenter\" src=\"https:\/\/pydatalondon22.wpengine.com\/wp-content\/uploads\/2021\/05\/JieLou-300x300.jpg\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/JieLou-300x300.jpg 300w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/JieLou-150x150.jpg 150w, https:\/\/pydata.org\/london2022\/wp-content\/uploads\/2021\/05\/JieLou.jpg 545w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_empty_space height=&#8221;48px&#8221;][vc_column_text]<\/p>\n<h2><b data-stringify-type=\"bold\">Jie Lou <\/b>|\u00a0 MACHINE LEARNING ENGINEER<\/h2>\n<p>Jie is a Machine Learning Engineer at SymphonyRM. In the past two years, she has helped the team successfully build scalable machine learning and data pipelines. These Dask powered ML workflows has enabled the team to deliver the products efficiently and reliably. She graduated from Heinz College at Carnegie Mellon with a Master degree in Information Systems Management in 2019.[\/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; el_id=&#8221;Sylvain&#8221;][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_column_text el_id=&#8221;NaomiCedar&#8221;] [\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text] Sylvain Corlay Sylvain Corlay is the founder and CEO of QuantStack. He holds a PhD in applied mathematics from University Paris VI. As an open-source developer, Sylvain Corlay is active in the Jupyter ecosystem. He is the [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":1401,"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 v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Keynote Speakers | PyData London 2022<\/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\/london2022\/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 London 2022\" \/>\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; el_id=&#8221;Sylvain&#8221;][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_column_text el_id=&#8221;NaomiCedar&#8221;] [\/vc_column_text][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text] Sylvain Corlay Sylvain Corlay is the founder and CEO of QuantStack. He holds a PhD in applied mathematics from University Paris VI. As an open-source developer, Sylvain Corlay is active in the Jupyter ecosystem. 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