Mine Çetinkaya-Rundel is Senior Lecturer in the School of Mathematics at University of Edinburgh, Data Scientist and Professional Educator at RStudio, and Associate Professor of the Practice position at the Department of Statistical Science at Duke University. 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 underrepresented 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 data set. Mine works 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, she co-authored four open-source introductory statistics textbooks. She is also the creator and maintainer of datasciencebox.org and she teaches the popular Statistics with R MOOC on Coursera. Mine is a Fellow of the ASA and an Elected Member of the ISI as well as the winner of the 2018 Harvard Pickard Award and the 2016 Waller Education Award.

Jo Hardin is Professor of Mathematics and Statistics at Pomona College. She collaborates with molecular biologists to create novel statistical methods for analyzing high throughput data. She has also worked extensively in statistics and data science education, facilitating modern curricula for higher education instructors. She was a co-author on the 2014 ASA Curriculum Guidelines for Undergraduate Programs in Statistical Science, and she writes on the blog teachdatascience.com. The best part of her job is collaborating with undergraduate students. In her spare time, she loves reading, running, and breeding tortoises.

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