Ginni Rometty Professor
Computer Science
Fellow, Institute for Policy Research
Northwestern University
jhullman (at) northwestern.edu
I'll be speaking this spring at Princeton Psychology Seminar on Advanced Research Methods, Stanford Statistics Seminar, UC Berkeley Computational Precision Health, MIT Stochastics and Statistics Seminar, and Northwestern Institute for Policy Research Fay Lomax Cook Colloqium.
I'm teaching a grad seminar this Winter on what it means to predict well for the purposes of decision-making.
To see what I've been thinking about lately, check my recent blog posts on Statistical Modeling, Causal Inference, and Social Science.
I am currently Ginni Rometty Professor of Computer Science and Faculty Fellow at the Institute for Policy Research at Northwestern University.
My research develops interface tools and theoretical frameworks for helping people combine their knowledge with statistical models, in settings ranging from scientific research to use of predictive models for policy decisions to everyday scenarios like election forecasting. I work between theory and application, grounding my contributions in formal models of rational inference such as Bayesian decision theory while addressing real world applied problems. My current interests include designing to achieve human-AI complementarity and quantifying and expressing prediction uncertainty. I maintain an active interest in metascience and statistical reform.
My work has been awarded with multiple best paper and honorable mention awards at top visualization and HCI venues. I was chosen as a Microsoft Faculty Fellow (2019), and have been funded by NSF CAREER, Medium, and Small awards, among others. I frequently speak and blog on topics related to uncertainty quantification, decision theory, statistical modeling, and human-computer interaction.