I study how law shapes innovation in the life sciences, with a substantial focus on big data and artificial intelligence in medicine. I write about the intellectual property incentives and protections for data and AI algorithms, the privacy issues with wide-scale health- and health-related data collection, the medical malpractice implications of AI in medicine, and how FDA should regulate the use of medical AI.
Kevin Quinn, PhD, is Professor of Political Science in the College of Literature, Science, and the Arts at the University of Michigan, Ann Arbor.
Prior to joining the Michigan faculty, Professor Quinn was a Professor of Law at UC Berkeley. His research focuses on questions of empirical legal studies and statistical methodology. His research has been supported by the National Science Foundation and has appeared in leading journals in political science, statistics, and law. Professor Quinn is a former President of the Society for Political Methodology and his research has received multiple professional awards.