Jessica Hullman

Jessica Hullman is an American computer scientist currently serving as the Ginni Rometty Professor of Computer Science at Northwestern University and as a faculty fellow at the Institute for Policy Research. Her research focuses on uncertainty quantification, AI-assisted decision-making, data visualization, and human-computer interaction. She is dedicated to developing theoretical frameworks, methods, and interactive visual interfaces that support integrating human knowledge with statistical models to optimize human-computer collaboration. Hullman's work spans applications in statistical modeling, policy decision-making, causal inference, and privacy decisions. Her research has been recognized with multiple Best Paper Awards at top visualization and human-computer interaction conferences. She has also delivered talks at prestigious venues such as the President's Council of Advisors on Science and Technology, advocating for statistical reform and metascience.

• 2015–Present·Northwestern University·Ginni Rometty Professor of Computer Science
  • Conducting research on uncertainty visualization, AI decision-making assistance, and human-computer interaction.
• 2015–2018·University of Washington Information School·Faculty
  • Researched information visualization and uncertainty quantification.
• 2013–2015·University of California, Berkeley·Tableau Software Postdoctoral Researcher
  • Conducted research on information visualization and human-computer interaction in the Department of Computer Science.

• 2014·University of Michigan·Ph.D. (Information Science)
  • Research Focus: Information Visualization and Statistical Modeling.
• 2008·University of Michigan·M.S. (Information Science)
  • Research Focus: Information Analysis and Retrieval.
• 2003·Ohio State University·B.A. (Comparative Studies)
  • Graduation Honors: Magna Cum Laude.
• N/A | Naropa University | M.F.A. (Writing and Poetics)