Speaker Profile

J.D., Jaharis Faculty Fellow in Health Law and Intellectual Property, DePaul University College of Law
Biography

Professor Charlotte Tschider is the 2018-2019 Jaharis Faculty Fellow in Health Law and Intellectual Property at the DePaul University College of Law. Her primary scholarship is in information privacy, cybersecurity law, and artificial intelligence, with a particular focus on the global health care industry. Professor Tschider is the author of International Cybersecurity and Privacy Law In Practice (Wolters Kluwer 2018), and her academic writing have appeared or are forthcoming in the Washington University Law Review, Denver Law Review, the Annals of Health Law, the Oxford Journal of Law & Biosciences, and chapters in the ABA’s The Law of Artificial Intelligence and Smart Machines, amongst others. She has appeared on NPR’s All Things Considered and has been featured in a variety of news media publications, including USA Today, The Hill, and Morning Consult. Prior to her time in academia, Tschider served in various upper management and consultative capacities in information technology, cybersecurity, and legal compliance, for Target Corporation, Carlson Wagonlit Travel, and, most recently, for Medtronic Corporation, for nearly two decades. In 2017, Professor Tschider was named a Fulbright Specialist in Cybersecurity and Privacy Law by the Fulbright Scholar Program. Professor Tschider has written or spoken on topics ranging from data collection in the medical industry and internet privacy to the intersection of Artificial Intelligence policy and global data protection laws, amongst others.

Session Abstract – PMWC 2019 Silicon Valley

Session Synopsis: This session will focus on different views and approaches to advance precision medicine data collection and use in the post-Facebook-Cambridge Analytica era. We will hear from various areas of our industry on new technological, medical and legal approaches to data acquisition and use that will move us closer to achieving the full promise of big data and AI to democratize precision medicine.

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