Jennifer Hill, professor of applied statistics, is the recipient of NYU’s 2020-2021 Distinguished Teaching Award. The award is given annually to faculty members who have made a significant contribution to the intellectual life of NYU through their teaching.
Hill teaches courses on data analysis, research methodology, and applied statistics, methods that help researchers answer the causal questions that are vital to scientific research and policy development.
Professor Hill is a sought-out expert who meets her students where they are. She is committed to their success.”
In nomination letters, students and alumni praised their professor for her availability as an advisor and mentor, and ability to inspire.
“Though causal inference is one of the most complex theories in statistics, Professor Hill teaches in a way even non-statisticians can grasp,” said Steinhardt Dean Jack Knott. “Professor Hill is a sought-out expert who meets her students where they are. She is committed to their success.”
Hill serves as the director of Steinhardt’s Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM). She is the co-author of Regression and Other Stories (Cambridge University Press, 2020).
Established in 1987, NYU’s Distinguished Teaching Award is given annually to selected outstanding members of the faculty committed to teaching excellence. Recipients are presented with a research stipend.
