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<!--[[Image:Cynthia_Rudin.jpg|150px|Cynthia Rudin]]

[[Image:Cynthia_Rudin.jpg|150px|Cynthia Rudin]]

<!--<h3>Cynthia Rudin</h3>

<h3>Cynthia Rudin</h3>

<p class="jobtitle">Professor of computer science, electrical and computer engineering, statistical science, mathematics, and biostatistics & bioinformatics, Duke University</p>

<p class="jobtitle">Professor of computer science, electrical and computer engineering, statistical science, mathematics, and biostatistics and bioinformatics at Duke University</p>

<p>Coming soon</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>

<br><!--<p style="margin-bottom:20px;">Follow: [https://link.com Twitter] | [https://link.com on LinkedIn] | [https://link.com Website]</p>-->

<p style="margin-bottom:20px;">Follow: [https://twitter.com/CynthiaRudin @CynthiaRudin Twitter]</p>

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