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Data Conference 2022 Speakers (view source)

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<p style="text-align:right; padding: 10px; margin-top: -10px; width:1130px"><strong><strong>[https://wiki.gccollab.ca/Conférence_sur_les_données_2022_-_Conférenciers Français]</strong></strong></p>
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<p style="text-align:left; padding: 10px; margin-top: -10px; width:1130px"><strong><strong>[https://wiki.gccollab.ca/Conférence_sur_les_données_2022_-_Conférenciers Français]</strong></strong></p>
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<p class="button"><strong>[https://wiki.gccollab.ca/GC_Data_Conference_2023 ➡ View the 2023 GC Data Conference]</strong></p>
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[[Image:DataCon2022-Banner-EN.png |100%|Data Conference 2022: Driving Data Value and Insights for All Canadians, 23 + 24 February 2022]]
 
[[Image:DataCon2022-Banner-EN.png |100%|Data Conference 2022: Driving Data Value and Insights for All Canadians, 23 + 24 February 2022]]
 
<p style="background-color: #f18f34; padding: 5px; margin-top: -10px; width:1130px""><small>
 
<p style="background-color: #f18f34; padding: 5px; margin-top: -10px; width:1130px""><small>
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<strong>[https://www.csps-efpc.gc.ca/events/data-conference2022/index-eng.aspx Register now]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
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<strong>[https://vexpodev.z9.web.core.windows.net/en/#/2203/lobby Virtual Expo]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
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<!--<p>[https://expo.da-an.ca Virtual Expo]&nbsp;&nbsp;|&nbsp;&nbsp;</p>-->
   
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Agenda]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Agenda]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Speakers CONFERENCE SPEAKERS]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Speakers CONFERENCE SPEAKERS]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Networking_Missions Networking Missions]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Networking_Missions Networking Missions]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Discover_more_about_data Discover more about data]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Discover_more_about_data Discover more about data]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
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<!--<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Announcements Announcements]</strong>-->
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<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Announcements Announcements]</strong>
 
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<p style="margin-bottom:20px;">Follow: [https://twitter.com/pdesrochers @pdesrochers on Twitter] | [http://ca.linkedin.com/pub/pierre-desrochers/7/b10/199 on LinkedIn]</p>
 
<p style="margin-bottom:20px;">Follow: [https://twitter.com/pdesrochers @pdesrochers on Twitter] | [http://ca.linkedin.com/pub/pierre-desrochers/7/b10/199 on LinkedIn]</p>
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[[Image:Tom_Dufour.jpg|150x150px|Tom Dufour]]
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[[Image:Tom_Dufour.jpg|150px|Tom Dufour]]
 
<h3>Tom Dufour</h3>
 
<h3>Tom Dufour</h3>
 
<p class="jobtitle">Director General, Strategic Data Management Branch, Statistics Canada</p>
 
<p class="jobtitle">Director General, Strategic Data Management Branch, Statistics Canada</p>
 
<p>Tom Dufour is Director General for Statistics Canada’s Strategic Data Management Branch, home of the Office of the Chief Data Officer, where he brings together experts in data standards and stewardship, statistical infrastructure and geomatics and privacy management to support initiatives across the Agency and with key government partners. He has helped drive advancements in program areas at Statistics Canada for over 30 years ranging from social statistics to macroeconomics.</p>
 
<p>Tom Dufour is Director General for Statistics Canada’s Strategic Data Management Branch, home of the Office of the Chief Data Officer, where he brings together experts in data standards and stewardship, statistical infrastructure and geomatics and privacy management to support initiatives across the Agency and with key government partners. He has helped drive advancements in program areas at Statistics Canada for over 30 years ranging from social statistics to macroeconomics.</p>
 
<p><strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Emcee for Data Conference 2022]</strong></p>
 
<p><strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Emcee for Data Conference 2022]</strong></p>
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<!--[[Image:Wassim El-Kass.jpg|150px|Wassim El-Kass]]
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<h3>Wassim El-Kass</h3>
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<p class="jobtitle">Assistant Director, Immigration, Refugees and Citizenship Canada</p>
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<p>Wassim El-Kass is an Assistant Director at Immigration, Refugees and Citizenship Canada (IRCC) where he leads a team of Data Scientists to develop innovative and responsible Artificial Intelligence solutions. He holds a PhD in Information Science and Technology from the University of Quebec in Outaouais. Wassim has over 25 years of work and teaching experience in software development, advanced analytics, and project management. He worked for 15 years in the private sector before joining the public sector in 2011. He is so passionate about information and knowledge extraction from structured and unstructured data to solve real business problems and improve services. </p>
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<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Artificial_Intelligence-driven_service_delivery_for_Canadians Artificial Intelligence-driven service delivery for Canadians]</strong></p>
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<p style="margin-bottom:20px;">Follow: [https://www.linkedin.com/in/wassime/ on LinkedIn]</p>-->
      
[[Image:Sevgui_Erman_Headshot.jpg|150px|Sevgui Erman]]
 
[[Image:Sevgui_Erman_Headshot.jpg|150px|Sevgui Erman]]
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<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Artificial_Intelligence-driven_service_delivery_for_Canadians Artificial Intelligence-driven service delivery for Canadians]</strong></p>
 
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Artificial_Intelligence-driven_service_delivery_for_Canadians Artificial Intelligence-driven service delivery for Canadians]</strong></p>
 
<p style="margin-bottom:20px;">Follow: [https://www.linkedin.com/in/saeid-molladavoudi on LinkedIn]</p>
 
<p style="margin-bottom:20px;">Follow: [https://www.linkedin.com/in/saeid-molladavoudi on LinkedIn]</p>
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[[Image:Ima_Okonny_Photo_-_CDO.jpg|150px|Ima Okonny]]
 
[[Image:Ima_Okonny_Photo_-_CDO.jpg|150px|Ima Okonny]]
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<p>Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, mathematics, and biostatistics & bioinformatics at Duke University. She directs the Interpretable Machine Learning Lab, whose goal is to design predictive models with reasoning processes that are understandable to humans. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (the “Nobel Prize of AI”). She is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the Association for the Advancement of Artificial Intelligence. Her work has been featured in many news outlets including the NY Times, Washington Post, Wall Street Journal, and Boston Globe.</p>
 
<p>Cynthia Rudin is a professor of computer science, electrical and computer engineering, statistical science, mathematics, and biostatistics & bioinformatics at Duke University. She directs the Interpretable Machine Learning Lab, whose goal is to design predictive models with reasoning processes that are understandable to humans. Her lab applies machine learning in many areas, such as healthcare, criminal justice, and energy reliability. She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University. She is the recipient of the 2022 Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (the “Nobel Prize of AI”). She is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the Association for the Advancement of Artificial Intelligence. Her work has been featured in many news outlets including the NY Times, Washington Post, Wall Street Journal, and Boston Globe.</p>
 
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Building_the_future_with_responsible_AI Building the future with responsible AI]</strong></p>
 
<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Building_the_future_with_responsible_AI Building the future with responsible AI]</strong></p>
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<p style="margin-bottom:20px;">Follow: [https://twitter.com/CynthiaRudin @CynthiaRudin on Twitter]</p>
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<p style="margin-bottom:20px;">Follow: [https://twitter.com/CynthiaRudin @CynthiaRudin on Twitter] | [https://users.cs.duke.edu/~cynthia/papers.html Papers] | [https://users.cs.duke.edu/~cynthia/code.html Code]</p>
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[[Image:Etienne_Saint-Pierre.jpg|150px|Name]]
 
[[Image:Etienne_Saint-Pierre.jpg|150px|Name]]
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