Mine Dogucu

About

A woman with short hair and white shirt and mint-green sweater smiling into the camera. She is in front of a yellow wall.

Associate Professor of Teaching
Department of Statistics
University of California, Irvine

This is how my name is pronounced: Mi-neh Doe-uu-joo. In the audio file below you can hear me pronounce my name.

I am a teacher-scholar of statistics and data science. I am an educator with an interest in statistics and data science education and I am an applied statistician with experience in educational research. In short, my educational work is in statistics and data science and my statistics and data science work is in education. My day-to-day work thoughts include what to teach (curriculum design), how to teach (learning theory), and what tools to use while teaching statistics and data science (educational technology). I work to make a positive impact in the lives of statistics and data science learners and their instructors.

My broader goal is to create statistics and data science classrooms and curricula that are accessible and inclusive and relevant across all sciences. Even though primary focus of my work has been on undergraduate education at four-year institutions, I collaborate on projects involving community colleges and K-12 curricula. Some of my latest work in data science education has been on accessibility, assessing reasoning, instructor knowledge and training, and inferential thinking from a Bayesian lens across STEM disciplines. I am the coauthor of the book Bayes Rules! An Introduction to Applied Bayesian Modeling as well as the upcoming book Hello Data Science: A Friendly Introduction with Applications.

I have been fortunate to have been funded by the National Science Foundation and National Institutes of Health for multiple projects. I teach a variety of statistics, computing, and data science classes at the undergraduate and graduate levels. I write blog posts about data, pedagogy, and data pedagogy at DataPedagogy.com. The blog posts contain resources both for instructors and students.

In 2026, I serve as the chair-elect of the Section on Statistics and Data Science Education of the American Statistics Association. I am also a member of the ASA/NCTM Joint Committee on K-12 Education in Statistics and Probability and ASA Committee on International Relations in Statistics (CIRS). I am the lead organizer of ASA International Data Quest.

Outside of work, you can find me petting a cat or two or more, admiring art in museums and galleries with Morteza Khakshoor, or watching a movie in a theater.