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  <title><![CDATA[Bioengineering Seminar]]></title>
  <body><![CDATA[<p><br><a href="https://www.linkedin.com/in/kim-branson-b864963/"><strong>Kim Branson</strong></a><br><strong>Senior Vice President</strong><br><strong>Global Head of Artificial Intelligence and&nbsp;Machine Learning</strong><br><strong>Glaxo Smith Kline</strong><br><br><a href="https://gatech.zoom.us/webinar/register/WN_w2tjIwzXQcWU5bXTjc1ExQ"><strong>Register HERE</strong></a><strong> to participate via Zoom</strong><br><br>BIO<br>Senior Vice President and Global Head of Artificial Intelligence and Machine Learning at GSK, leading a global team of engineers, data scientists and machine learning researchers pioneering a more data-driven approach to improve drug discovery.<br><br>I'm passionate about modeling, machine learning and in particular the application of deep learning methods in drug development. At GSK.ai we’re unlocking the potential of complex genetic data, using the team’s cross-discipline expertise and collaborating with leading partners make better predictions and to speed up delivery of next generation medicines and vaccines to patients – at scale. By bringing together leading science, unique technology, and outstanding people we are aiming to double our development success rate to make a difference to more patients’ lives.<br><br>My previous work, has included large-scale machine learning and medical informatics initiatives across a range of ventures from computational drug design to disease risk prediction.<br><br>Faculty host: <a href="mailto:pkasson3@gatech.edu"><strong>Peter Kasson</strong></a><br><br><em>Co-hosted by Georgia Tech's Institute for Bioengineering and Bioscience and the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University.&nbsp;</em></p>]]></body>
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