This year’s presenters


Past presenters

Beth Chance is Professor of Statistics at Cal Poly, San Luis Obispo. Dr. Chance has been involved in statistics education research for several years, especially in the areas of assessment and technology, and she has background in program evaluation and curriculum development. She is an award winning teacher (American Statistical Association’s Waller Education Award) and her applets have been recognized by Merlot. With Dr. Allan Rossman and others she has co-authored three introductory textbooks that focus on using active learning and constructivism to improve students’ statistical thinking and literacy, and a new textbook for a second course in statistics is coming this fall. Dr. Chance has received several NSF grants for her work and is a fellow of the American Statistical Association. She was 2018 Chair of the Section on Statistics Education (American Statistical Association).

Mine Çetinkaya-Rundel is Professor of the Practice at the Department of Statistical Science at Duke University and Data Scientist and Professional Educator at RStudio. Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She also organizes ASA DataFest, an annual two-day competition in which teams of undergraduate students work to reveal insights into a rich and complex dataset. Mine has been working on the OpenIntro project since its founding and as part of this project she co-authored four open-source introductory statistics textbooks (including this one!). She is also the creator and maintainer of and she teaches the popular Statistics with R MOOC on Coursera.

Ciaran Evans is an Assistant Professor Statistics in the Department of Statistical Sciences at Wake Forest University. Ciaran’s pedagogical work involves understanding student misconceptions, and developing activities and resources to support student engagement. He also works on topics including dataset shift, changepoint detection, and hypothesis testing, with a focus on applications to biology and medicine.

Jo Hardin is a Professor of Mathematics at Pomona College in Southern California. Dr. Hardin’s research area is in generating novel statistical methods for analyzing biological high throughput methods. She has also worked for many years in research on statistics and data science education, particularly in areas of modernizing the curriculum. In summer 2019, she and colleagues blogged daily to create 50 topics on teaching data science. She has won multiple teaching awards and is a fellow of both the American Statistical Association as well as the International Statistics Institute. Jo is a past chair of the Section on Statistics and Data Science Education of the American Statistical Association.

Yue Jiang is Assistant Professor of the Practice of Statistical Science at Duke University. A biostatistician by training, Yue has applied research interests in public health and biomedicine, and routinely involves undergraduate students in such projects. He is also working with the Duke University School of Medicine to revamp their statistical and quantitative literacy module for medical students. Finally, Yue has pedagogical interests in formally developing and directly teaching peer review skills and will be leading a Birds of a Feather discussion group on the topic prior to this year’s JSM.

Jessie Oehrlein is an Assistant Professor of Mathematics at Fitchburg State University in north central Massachusetts. She received a PhD in Applied Math, with a focus on atmospheric science, from Columbia University. Jessie’s research is focused on using a combination of observations and models to better understand winter climate. Jessie is also interested in guided inquiry approaches to teaching statistics.

Sara Stoudt is an applied statistician with research interests in ecology and the communication of statistics. Stoudt received her doctorate in statistics from the University of California, Berkeley, and she is starting as an Assistant Professor in the Department of Mathematics at Bucknell University in the fall. Follow Sara on Twitter (@sastoudt) and check out her recent book with Deborah Nolan, Communicating with Data: The Art of Writing for Data Science.

Maria Tackett is an Assistant Professor of the Practice in the Department of Statistical Science at Duke University. Maria’s research focuses on using technology and active learning techniques to enhance student learning and motivation in large undergraduate statistics courses. Prior to joining the faculty at Duke, Maria earned a Ph.D. in Statistics from the University of Virginia, where her research focused on using a Bayesian approach to quantify uncertainty in forensic science techniques, with an emphasis on latent fingerprint evidence.

Allison Theobold is an Assistant Professor of Statistics at Cal Poly in beautiful San Luis Obispo, California. Allison received her doctorate in Statistics, with an emphasis in Statistics Education, from Montana State University. Allison’s work focuses on innovation in statistics and data science education, with an emphasis on equitable pedagogy and learning trajectories. Allison is also interested in exploring pedagogical approaches for enhancing retention of under-represented students in STEM, including creating inclusive discoursive spaces and equitable group collaborations.