Invited Talk: Emma Brunskill

Emma Brunskill is an Assistant Professor of Computer Science and an Affiliated Assistant Professor of Machine Learning at Carnegie Mellon University. Prior to this, she completed her PhD at the Massachusetts Institute of Technology and was a NSF Mathematical Sciences Postdoctoral Fellow at UC Berkeley. Her primary research is on sequential decision making under uncertainty, and she is particularly excited about applications of this work to intelligent tutoring systems and healthcare. Emma is also interested in how information technology can be used to help address challenges that arise in low resource areas. She is a Rhodes Scholar and was recently selected as a Microsoft Faculty Fellow.