Associate Professor of the Practice of Statistical Science
I am the Director of Undergraduate Studies and an Associate Professor of the Practice in the Department of Statistical Science at Duke University. I received my Ph.D. in Statistics from the University of California, Los Angeles, and a B.S. in Actuarial Science from New York University’s Stern School of Business. My work focuses on innovation in statistics pedagogy, with an emphasis on student-centered learning, computation, reproducible research, and open-source education.
Interested in majoring in statistics?
If you would like to meet to discuss the Statistical Science major, send me an email to schedule an appointment. Also visit the department website as many of your questions can also be answered there.
I primarily work on developing pedagogical approaches for teaching statistics with a focus on the introductory statistics classroom, such as active learning, flipped classroom, and team-based learning. I also work on research projects that aim to assess the effectiveness of these approaches with respect to learning, retention, and self-efficacy.
Another area that I am heavily involved in is integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. I also work on ways for supplementing classroom approaches to teaching statistical thinking via events like DataFest, annual two-day competition in which teams of undergraduate students work to reveal insights into a rich and complex data set.
I am also very active in open access education. I have co-authored three open-source statistics textbooks as part of the OpenIntro project at the introductory college and advanced high school level. Also as part of the open education effort, I have been developing and teaching various massive open online courses.
Applied statistics research
My applied statistics research is mostly driven by interdisciplinary collaborations that arise from statistical consulting. Recently I have worked closely with evolutionary anthropologists on a project using hierarchical modeling, and with medical school researchers on a variety of applied problems.
CRCNS: Geometry-based Brain Connectome Analysis awarded by National Institutes of Health (Faculty Associate). 2018 to 2021
Collaborative Research: Accelerating the Pace of Research and Implementation of Writing-to-Learn Pedagogies Across STEM Disciplines awarded by National Science Foundation (Key Faculty). 2015 to 2020
The COMPASS PROJECT awarded by Howard Hughes Medical Institute (Co Investigator). 2014 to 2019