School of Mathematics

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Dr. Mine Çetinkaya-Rundel

  • Senior Lecturer

Contact details

Research Interests

Statistics and data science education, statistical computing, reproducible research, open-source education.

Research Groups

Biographical Statement

I am Senior Lecturer in the School of Mathematics at the University of Edinburgh as well as Professional Educator and Data Scientist at RStudio. My 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 underrepresented minorities in STEM. I work on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. I also organize ASA DataFest, an annual two-day competition in which teams of undergraduate students work to reveal insights into a rich and complex data set. I work on the OpenIntro project, whose mission is to make educational products that are free, transparent, and lower barriers to education. As part of this project, I co-authored three open-source introductory statistics textbooks. I am also the creator and maintainer of datasciencebox.org and I teach the popular Statistics with R MOOC on Coursera. In 2018 I received the David Pickard Teaching Award and in 2016 the ASA Waller Education Award. I am also the recipient of the 2015 JSM Best Paper Award in the Section on Teaching Statistics in the Health Sciences and the 2014 Duke University David and Janet Vaughan Brooks Award for Teaching Excellence.

Professional Activities

Chair, ASA Section on Statistics and Data Science Education (2019) Co-Chair, ASA DataFest Steering Committee (2015-present) Program Committee, Caucus for Women in Statistics (2020-2021) Member, ASA Ad Hoc Advisory Committee on Data Science (2019-2020) Member, ASA Education Council (2019)

Education Background

PhD, Statistics - University of California, Los Angeles MS, Statistics - University of California, Los Angeles BS, Actuarial Science - New York University, Stern School of Business

Previous Employment

Associate Professor of the Practice - Duke University, Department of Statistical Science