Emma Jordan

About

Emma Jordan is a teaching professor in the Department of Computer Science at the University of Pittsburgh. She received her PhD from the University of Massachusetts Amherst, advised by Phil Thomas, and completed a postdoc at the University of Alberta under Martha White and Adam White. Her research addresses fundamental problems in reinforcement learning and AI more broadly, with a parallel line of work examining the experimental practices of the AI research community — she is an advocate for greater scientific rigor in how the field evaluates its own claims. In the classroom, she teaches courses including Deep Learning and Reinforcement Learning, with a consistent emphasis on building students' foundational understanding rather than surface-level familiarity with tools.

Education

• PhD, University of Massachusetts Amherst