Mine Doğucu

University of California Irvine, Department of Statistics University College London, Department of Statistical Science Denison University New College of Florida

* indicates a co-author who was an undergraduate student mentored by Dogucu at the research stage of the publication.
** indicates a co-author who was a graduate student mentored by Dogucu at the research stage of the publication.
*** indicates a co-author who was a postdoctoral scholar mentored by Dogucu at the research stage of the publication.

1. Dogucu, M., Demirci, S.***, Bendekgey, H.**, Ricci F. Z.** & Medina, C. M.** (In Press). A Systematic Literature Review of Undergraduate Data Science Education Research Journal of Statistics and Data Science Education.
2. Dogucu, M., Kazak, S. & Rosenberg, J. (2025) The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers. Journal of Statistics and Data Science Education. 33(2), 177-188.
3. Ricci, F. Z.**, Medina, C.** & Dogucu, M. (2024) Automated grading workflows for providing personalized feedback to open-ended data science assignments. Technology Innovations in Statistics Education. 15(1).
4. Demirci, S.***, Dogucu, M., Zieffler, A. & Rosenberg, J. (2023) The Learning Difficulties of Introductory Data Science Students In E. Jones (Ed) Proceedings of the International Association for Statistical Education Satellite Conference. Online.
5. Dogucu, M. Johnson, A.A. & Ott, M. (2023) Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses. Journal of Statistics and Data Science Education. 31(2), 144-150.
6. Seo, J. & Dogucu, M. (2023) Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations Journal of Data Science. 21(2), 428-441.  
7. Dogucu, M. & Johnson A. (2022) Supporting Bayesian Modeling with Visualizations. In S. Peters (Ed) Proceedings of the 11th International Conference on Teaching Statistics. Rosario, Argentina.
8. Dogucu, M. & Cetinkaya, M. (2022) Tools and Recommendations for Reproducible Teaching. Journal of Statistics and Data Science Education. 30(3), 251-260.
9. Dogucu, M. & Hu, J. (2022) The Current State of Undergraduate Bayesian Education and Recommendations for the Future.The American Statistician, 74(2), 405-413.
10. Rosenberg, J., Kubsch, M, Wegenmakers, E.J. & Dogucu, M. (2022) Making Sense of Uncertainty in the Science Classroom: A Bayesian Approach. Science & Education, 31, 1239–1262.
11. Çetinkaya-Rundel, M., Dogucu, M. & Rummerfield, W.** (2022) The 5Ws and 1H of Final Projects in the Introductory Data Science Classroom. Statistics Education Research Journal, 21(2), 4-4.
12. Shindler, M., Pinpin N., Markovic M., Reiber F., Kim, J.H., Nunez Carlos, G.P.*, Dogucu, M., Hong, M., Luu, M., Anderson, B., Cote, A., Ferland M., Jain P., LaBonte, T., Mathur, L., Moreno R. & Sakuma, R. (2022) Student Misconceptions of Dymanic Programming: A Replication Study. Computer Science Education, 32(3), 288-312.
13. Hu, J. & Dogucu, M. (2022) Content and Computing Outline of Two Undergraduate Bayesian Courses: Tools, Examples, and Recommendations. Stat. 11(1)
14. Rummerfield, W.**, Ricci, F. Z.** & Dogucu, M. (2021) Training Graduate Students to Teach Statistics and Data Science from a Distance. In R. Helenius (Ed) Proceedings of the International Association for Statistical Education Satellite Conference. Online.
15. Dogucu, M. & Çetinkaya-Rundel, M. (2021) Web Scraping in the Statistics and Data Science Curriculum: Challenges and Opportunities. Journal of Statistics Education. 29(sup1), S112 - S122.  
16. Piasta, S.B., Sawyer, B., Justice, L.M., O’Connell, A.A., Jiang, H., Dogucu, M., & Khan, K. (2020). Effects of Read It Again! in Early Childhood Special Education Classrooms. Journal of Early Intervention, 42(3), 224-243.
17. Farley, K.S., Piasta, S. B., Dogucu, M. & O’Connell, A. (2017) Assessing and Predicting Small-Group Literacy Instruction in Early Childhood Classrooms. Early Education and Development, 28(4), 488-505.

1. Dogucu, M. (2025) Reproducibility in the Classroom. Annual Review of Statistics and Its Application. (2), 89-105
2. Dogucu, M. (2021) Contributing to Open Education: Why, How, and What I am Doing. AMS Notices, 68(3), 367-369

1. Johnson, A. A., Otts, M. & Dogucu, M. (2022), Bayes Rules! An Introduction to Applied Bayesian Modeling. CRC Press. 1st edition.

1. Seo, J. & Dogucu, M. Data Science + Accessibility. In A. Oleson, A. J. Ko, R. Ladner (Eds) Teaching Accessible Computing. 2024.

1. Ricci, F. Z.**, Medina, C.** & Dogucu, M. R package gradetools: Tools to Assist with Providing Grades and Personalized Feedback to Students. GitHub, March 2022.
2. Dogucu, M., Johnson, A.A. & Otts, M. , R package bayesrules: Datasets and Supplemental Functions from Bayes Rules! Book. CRAN, June 2021.

1. Langehennig, S., del Rosario, Z., & Dogucu, M. Surprise, They’re Different! Comparing Frequentist and Bayesian Instructional Approaches in Political Science and Public Policy Classrooms. Political Science Educator. 29(1).
2. Dogucu, M. (2024) Recommendations for Undergraduate Students Interested in Statistics and Data Science. Amstat News (564), 30-32.
3. Bellini Saibene, Y., Dogucu, M., Palopoli, N., Campitelli, E., Acion, L. Corrales, P., & Loto, P.A. (2022) MetaDocencia: Enseñando a Enseñar Estadística y Ciencia de Datos Online [MetaDocencia: Teaching How to Teach Statistics and Data Science Online]. In S. Peters (Ed) Proceedings of the 11th International Conference on Teaching Statistics. Rosario, Argentina.
4. Dogucu, M. (2020) Teaching Careers (for Statisticians): What You Should Know. Amstat News (521), 32-34.
5. Haylock D. & Cockburn A. (2014). Ölçmeyi Anlama [Understanding Measurement] (M. Dogucu Trans.). In Küçük Çocuklar İçin Matematiği Anlama [Understanding Mathematics for Young Children]. Ankara, Turkey: Nobel.

University of California, Irvine University College London Denison University New College of Florida The Ohio State University

The Ohio State University

1. Dogucu, M. Introduction to Git and GitHub for RStudio Users. Workshop given at Cypress College, Cypress, CA, April 2024.
2. Dogucu, M. , Herring, A., & Hu, Monika. Summer Bootcamp as part of the Bayes BATS project, Irvine, CA, July 2023.
3. Dogucu, M. along with other PIs. Summer Training Program at the Irvine Summer Institute in Biostatistics and Undergraduate Data Science, Irvine, CA, July-August 2023.
4. Castro, A., Dogucu, M., Jaynes, J. & Pelayo, R. Summer Bootcamp at the Southern California Data Science Project, Irvine, CA, June 2023.
5. Ricci, F.Z., Medina, C. & Dogucu, M. gradetools: a grading assistant in RStudio. Invited workshop given at the Researchers of Statistics Education (RoSE) conference, Online, May 2023.
6. Dogucu, M. & Demirci, S. Disseminating Collaborative and Reproducible Research. Workshop given at the Department of Statistical Science, University College London. London, UK, Feb 2023.
7. Dogucu, M. Teaching Bayesian Statistics at the Undergraduate Level. Workshop given at International Conference on Teaching Statistics (ICOTS). Rosario, Argentina, Sep 2022.
8. Dogucu, M. & Shahbaba, B. Data Science in Health Science as part of the COSMOS UCI, Irvine, CA, July 2022.
9. Dogucu, M. along with other PIs. Summer Training Program at the Irvine Summer Institute in Biostatistics and Undergraduate Data Science, Irvine, CA, July 2022.
10. Ricci, F.Z., Medina, C. M. & Dogucu, M. gradetools: An R package to Assist with Providing Grades and Personalized Feedback. Online Workshop. May 2022.  
11. Dogucu, M. Teaching an Introductory Data Science course with tidyverse workshop. Workshop given at Cypress College. December 2021.  
12. Dogucu, M., Johnson, A. and Ott, M. Teaching Bayesian Statistics at the Undergraduate Level. Workshop given at US Conference on Teaching Statistics (USCOTS). May 2021.
13. Dogucu, M. Sen de Yaz Yaz Yaz R Markdown ile her istediğini [Introduction to R Markdown]. Workshop given for R Ladies Ankara, Eskişehir, and İstanbul. June, 2020.    
14. Dogucu, M.Introduction to ggplot as an entry way to R for beginners. Workshop given at Teaching Tomorrow’s Scientists: An ASCB Virtual Meeting. May, 2020.  
15. Dogucu M., Introduction to R the Tidy Way. UC Irvine Center for Statisticial Consulting. Irvine, CA. March, 2020.  
16. Dogucu M., Data Visualization with ggplot2. R-Ladies Sarasota. Sarasota, FL. March, 2018.  
17. Dogucu M., Introduction to R. R-Ladies Sarasota. Sarasota, FL. March, 2018.  
18. Dogucu M., Fair and Efficient Grading. Training taught at Teaching Orientation for Graduate Teaching Assistants at the Ohio State University. Training Developed by University Center for Advancement of Teaching. Columbus, OH. August, 2015 & August, 2016.
19. Dogucu, M. & Uanhoro, J. R u Ready? Making the Switch to R. Methods Festival. The Ohio State University. Columbus, OH. July, 2017.
20. Dogucu, M. Introduction to R. Research Methodology Center. The Ohio State University. Columbus, OH. November, 2015. February, 2016. October, 2016. February, 2017. March, 2017.
21. Dogucu, M. Introduction to SAS. Crane Center for Early Childhood Research and Policy. The Ohio State University. Columbus, OH. February, 2015.
22. Aslan, U. & Dogucu, M. Computer Science for High School (CS4HS) @ Bogazici: Workshop on Scratch taught to preservice STEM teachers. Bogazici University, Istanbul, Turkey. May, 2012 & May, 2013.

1. Dogucu, M. Teaching Accessibly and Teaching Accessibility in Data-Intensive Courses. Department of Statistics, University of Washington. Seattle, WA. April, 2025
2. Dogucu, M. The Good, The Bad, and The Ugly Ways of Representing Data. Institute for Data Science and Social Impact at Harvey Mudd College. Claremont, CA. March 2025
3. Dogucu, M. & Çetinkaya-Rundel, M. Tools and recommendations for reproducible teaching . Royal Statical Society Teaching Statistics SIG event at TALMO: Teaching Open, Transparent, and Reproducible Data. Online. March 2025
4. Dogucu, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Department of Statistics, University of Auckland, Auckland, NZ, December 2024.
5. Dogucu, M. Preparing to be a Principal Investigator in Statistics and Data Science Education Research. Preparing to Teach Workshop. Corvallis, OR. August 2024.
6. Dogucu, M. Training Instructors to Advance Bayesian Thinking in STEM. International Society for Bayesian Analysis (ISBA) World Meeting. Venice. July 2024.
7. Dogucu, M. Updating Beliefs on Bayesian Education: Reflections on Research and Teaching Projects. Aalto University and Finnish Center for Artifical Intelligence. Helsinki, Finland. June 2024.
8. Dogucu, M. Teaching Accessibly and Teaching Accessibility in Data-Intensive Courses. AAAS-IUSE workshop. Online. April 2024.
9. Dogucu, M. Notes for data science students. The Pacific Alliance for Low-income Inclusion in Statistics and Data Science. Online. April 2024.
10. Dogucu, M. What is going on in undergraduate Bayesian education across the pond?. Royal Statical Society Teaching Statistics SIG event at TALMO: Teaching Bayesian Methods. Online. March 2024
11. Dogucu, M. An Overview of Undergraduate Bayesian Education. Statistical Sciences Applied Research and Education Seminar (ARES) organized by the the Department of Statistical Sciences at University of Toronto and Ontario Regional Centre of the Canadian Statistical Sciences Institute. Online. December 2023.
12. Dogucu, M. Accessibility is a Must in the Data Science Curriculum. Vassar College. Poughkeepsie, NY. September 2023.
13. Dogucu, M. Automating grading workflow with the gradetools package in R. Invited Poster Presentation at Joint Statistical Meetings. Toronto, Canada. August 2023.
14. Dogucu, M. Tips for New Principal Investigators in Statistics and Data Science Education Research. Preparing to Teach Workshop. Toronto, Canada. August 2023.
15. Dogucu, M. Reproducible Teaching in Statistics and Data Science Curricula. Toronto Reproducibility Workshop, February 2023, Online
16. Dogucu, M. Teaching Bayesian modeling with Bayes Rules!. Bayes@Lund, January 2023, Online
17. Dogucu, M. Teaching Bayesian modeling with Bayes Rules!. International Society for Bayesian Analysis World Meeting, July 2022, Montreal, Canada
18. Dogucu, M. Teaching Accessibly and Teaching Accessibility. Keynote talk at useR! Conference, June 2022
19. Seo, J. Dogucu, M. Teaching Visual Accessibility in the Introductory Data Science Classes: Why, What, When, and How. Symposium on Data Science & Statistics, June 2022
20. Dogucu, M. A First Bayesian Course: Why, What, and How. Royal Statical Society Teaching Statistics SIG event at TALMO: The past, present and future of statistics teaching, May 2022
21. Dogucu, M. R (ile) Öğretme: Örnekler ve Kaynaklar [Teaching (with) R: Examples and Resources]. Invited talk as part of R education panel, Why R Turkey Conference, April 2022
22. Dogucu, M. Studying Data Science in College. STEM panel talk given at Northwood High School, Irvine, CA April 2022.
23. Dogucu, M. Teaching Bayesian Modeling at the Undergraduate Level. Department of Statistics, University of California Berkeley, January 2022.
24. Dogucu, M. First Steps of a Data Science Career. Center for Computational and Applied Mathematics, California State University Fullerton, October 2021.
25. Dogucu, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Southern California R Users Group and R Ladies Irvine meetup, Online, October 2021.
26. Hu, M. & Dogucu, M. Examples from Two Undergraduate Bayesian Courses: Tools, Resources, and Suggestions for Teaching. Refereed talk given at Symposium on Data Science and Statistics (SDSS), Online, June 2021.
27. Dogucu, M. Bayesian Statistics for Undergraduate Learners. University of California Riverside, Department of Statistics, Online, April 2021.
28. Nolan, D. et. al. (including Dogucu, M.) Data Science Education at the Undergraduate Level at University of California. Panel presentation at California Alliance for Data Science Education. Online, Feb, 2021.
29. Dogucu, M., Grolemund, G., Nugent, R., St. Clair, K. Teaching Focused Careers in Colleges, Universities, and Industry . Invited Panel at Joint Statistical Meetings. Online, August 2020.
30. Kocak, M. et. al (including Dogucu, M.) Kadın Yazılımcılar Toplanıyor: Yazılıma Adım Atmak (Women Developers Gathering: Beginning Software Development) Panel organized by (Kadın Yazılım Tasarım) Women Development Design live on YouTube. April 2020.
31. Dogucu, M. Five Art Pieces that Every R User Should Know Invited lightning talk given at rstudio::conf, R Ladies BoF. San Francisco. January 2020.
32. Dogucu, M. Web Scraping in the Statistics Curricula: Challenges and Opportunities. Department of Statistical Sciences. Durham, NC. November 2018.
33. Dogucu, M. & Ha, S. Handling Missing Data in R. St. Thomas University. Miami Gardens, FL. March, 2018.
34. Dogucu, M. When Missing Data Are Not a Nightmare: Planned Missing Designs. Invited talk given at Denison University. Granville, OH. December, 2016.
35. Dogucu, M. When Missing Data Are Not a Nightmare: Planned Missing Designs. Invited talk given at New College of Florida. Sarasota, FL. December, 2016.
36. Dogucu, M. Introduction to Multilevel Modeling. Invited lecture given at Denison University. Granville, OH. April, 2016.
37. Dogucu, M. Introduction to Factor Analysis . Invited lecture given at Bahcesehir University. Istanbul, Turkey. May 2014.

1. Dogucu, M. Bayesian Statistics for Undergraduate Students and Their Instructors. Contributed talk given at Joint Meeting of the NZMS, AustMS and AMS. Auckland, New Zealand. December 2024.
2. Dogucu, M., Demirci, S., Bendekgey, H., Ricci, F. Z. & Medina, C. M. Building Data Science Education Research Plan for Teacher-Scholars. Breakout session at Electronic Conference on Teaching Statistics (eCOTS). Online. June 2024. Selected as "hot topic of the day".
3. Dogucu, M. Framework for Accessible and Inclusive Teaching Materials for Statistics and Data Science Courses. Webinar for Journal of Statistics and Data Science Education. Online, March, 2023.
4. Dogucu, M., Downey, A., & Kumar, R. Panel on Bayesian Statistics Textbooks. Webinar for International Society for Bayesian Analysis (ISBA) Bayesian Education Research and Practice Section (BERaP). Online, March, 2023.
5. Dogucu, M. & Shahbaba B. Data Science in Health Sciences for High School Students. Talk given at Joint Statistical Meetings, Online, August 2021.
6. Dogucu, M., Johnson, A. and Ott, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Talk given at useR! conference, Online, July 2021.
7. Dogucu, M. & Kim, A. Data ingestation, data collection, and data analysis: key components in the statistics and data science analysis cycle. Webinar for Journal of Statistics and Data Science Education. Online, March, 2021.
8. Dogucu, M. AI Assisted Fair and Efficient Grading in the Statistics and Data Science Classrooms. Talk given at Electronic Conference on Teaching Statistics. Online. May 2020.  
9. Dogucu, M. & Çetinkaya-Rundel, M. Teaching Web Scraping: Integrating Data Science into Statistics. Talk given at Electronic Conference on Teaching Statistics. Online. May 2018.  
10. Dogucu, M. & Ha, S. Handling Missing Data in R. R Ladies Miami. Miami, FL. March, 2018.
11. Dogucu, M. & Ha, S. Handling Missing Data in R. R Ladies New York City. New York, NY. March, 2018.
12. D’Agostino McGowan, L., Dogucu, M. & Neal, J. Who is Killing California State Bills on Human Trafficking: A Preliminary Analysis. Hackathon presentation at Women in Statistics and Data Science Conference. San Diego, CA. October, 2017.
13. Benn, K.T. E., Dogucu, M. & Garcia M. M. Is There Room for Intersectional Feminism in Statistics and Data Science? Panel at Women in Statistics and Data Science Conference. San Diego, CA. October, 2017.
14. Bryan, J., Cetinkaya-Rundel, M., D’Agostino McGowan, L., de Quieroz, G., Dogucu, M., Scranton, K. & Thompson, K. R-Ladies panel: Improving Gender Diversity in a Male-Dominated Community. Panel at Women in Statistics and Data Science Conference. San Diego, CA. October, 2017.
15. Spear, C.F., Dogucu, M., Piasta, S.B. Reading Instruction for Children with and without Disabilities Across ECE and ECSE Settings. Poster presented at the Schoenbaum Family Center Symposium on Children. Columbus, OH. October, 2016.
16. Dogucu, M., Jiang, H. & Soto-Ramirez, P. Confirmatory Factor Analysis with Planned Missing Data: A Monte Carlo Simulation Study. Paper presented at Modern Modeling Methods Conference. Storrs, CT. May, 2016.
17. Perez A. & Dogucu, M. Using NAEP Data on Functions to Examine First-Generation College-Bound Mathematics Course Taking. Paper presented at the annual meeting of the American Educational Research Association. Washington, DC. April, 2016.
18. Jiang, H., Mauck, S., Dogucu, M., & O’Connell, A. Dealing with Missing Data in Multilevel Contexts: A Simulation Study. Poster presented at the annual meeting of the American Educational Research Association. Chicago, IL. April, 2015.
19. Farley, K.S., Piasta, S.B., O’Connell, A., & Dogucu, M. Small Group Literacy Instruction in Early Childhood Classrooms. Poster presented at the Society for the Scientific Study of Reading Annual Conference. Santa Fe, NM. July, 2014.

1. Interviewee. Amstat News: Awardees Suggest Applying Widely When Looking for NSF Grant. November, 2023.
2. Interviewee. Significance Magazine: Why your data viz needs alt text. February, 2023.
3. Guest. Sample Space Podcast Episode 6: Teaching Bayesian Statistics and Accessibility in Education. October, 2022.
4. Publication Mentioned. Education Week: Teaching Students to Understand the Uncertainties of Science Could Help Build Public Trust September, 2022.
5. Guest. Learning Bayesian Statistics Podcast Episode 42: How to Teach and Learn Bayesian Stats. June, 2021.
6. Guest. Data Science Education podcast Episode 5: Increasing Accessibility to Data Science Education. May, 2021.
7. Interviewee. SRQ Daily: Teaching Students To Ask Questions, Take Risks. Dec, 2017.
8. Interviewee. ASA's Women in Statistics and Data Science March, 2017.

1. Dogucu, M. et. al. Brown Bag: Panel on Statistics Conferences, Department of Statistics, University of California Irvine, November, 2024.
2. Dogucu, M. Teaching Accessibility in the Data Science Curriculum. Seminar talk given at Department of Statistics, University of California Irvine, June 2022.
3. Dogucu, M. et. al Environmental Data Science Careers Panel. Ridge to Reef Summer Institute, University of California Irvine, June 2022.
4. Dogucu, M. et.al. Instructional Video Examples from Statistics and Data Science Classes. Faculty Showcase at Digital Active Learning Workshop, University of California Irvine, Online, August 2020.
5. Dogucu, M. et.al. Preparing for a Faculty Career New Faculty Interview Panel. Office of Postdoctoral Affairs/Graduate Division, University of California Irvine, Online, August 2020.
6. Dogucu, M. Strategies and Tools for Fair and Efficient Grading. Seminar talk given at Department of Statistics, University of California Irvine, Irvine, CA. May 2020.
7. Way, D.P., Shi, Y., Dogucu, M., Gugiu, P.C. Validation of the Maslach Burnout Inventory-College Student Survey (MBI-CSS) for use in Undergraduate Medical Education. Podium presentation presented at the Annual Fall Celebration of Educational Scholarship, The Ohio State University College of Medicine, Columbus, OH. October, 2017.
8. Walstrom, K., Clore, A., Dogucu, M., Leininger, E., Saarinen, E., Sendova, M., Sherman, S., Women in STEM. Panel discussion at Feminist Fridays, New College of Florida, Sarasota, FL. September, 2017
9. Dogucu, M. A Brief Introduction to Statistical Consulting. Statistics Seminar.Talk given New College of Florida, Sarasota, FL. September, 2017.
10. Dogucu, M. A Potential Horror Story for Researchers: Non-Convergence of Some of the Models Fit Using Multiply Imputed Datasets. College of Education and Human Ecology Student Research Forum. Talk given at the Ohio State University, Columbus, OH. February, 2017.
11. Dogucu, M. An Investigation of Exploratory Factor Analysis Practices in the Social Sciences. College of Education and Human Ecology Student Research Forum. Talk given at the Ohio State University, Columbus, OH. January, 2015.
12. Dogucu, M. & Mauck, S. The Development of the Basic Statistical Knowledge Test (BSKT). Poster presented at the College of Education and Human Ecology Student Research Forum, Ohio State University, Columbus, OH. January, 2015.
13. Dogucu, M., Way D., & Nagel, R. Validation of the Maslach Burnout Inventory-Student Survey (MBI-SS) for use in Undergraduate Medical Education. The Methodological Colloquium. Presentation given at College of Education and Human Ecology at Ohio State University. April, 2014.

• Harvard Data Science Review
• Journal of Experimental Education
• Journal of Statistics and Data Science Education (x9)
• Statistics Education Research Journal (x2)
• Teaching Statistics
• Technology Innovations in Statistics Education (x2)
• The American Statistician

University of California, Irvine Denison University Ohio State University

Donald Bren School of Information & Computer Sciences, UC Irvine College of Education and Human Ecology, Ohio State University

Department of Statistics, University of California Irvine New College of Florida Ohio State University

Postdoctoral Scholars

1. Dr. Sinem Demirci, 2022 - 2023

Doctoral Students (as Adviser)

1. Catalina Medina , co-advising with Dr. Volodymyr Minin

Doctoral Students (as Other Mentorship)

1. Federica Zoe Ricci, Division of Teaching Excellence and Innovation Fellowship Mentor, Summer 2020; Independent Study, Fall 2023, Winter 2024, Spring 2024
2. Harry Bendekgey, Independent Study, Fall 2023
3. Cadee Pinkerton, Independent Study, Fall 2023, Winter 2024
4. Wendy Rummerfield, Division of Teaching Excellence and Innovation Fellowship Mentor, Summer 2020
5. Alicia Becerra Romero, Competitive Edge Program Co-mentor, Summer 2020

Undergraduate Students

1. Ziyi Wei (University College London), Capstone Project, 2022-2023
2. Yuze Zhai 翟雨泽 (University College London), Capstone Project, 2022-2023
3. Feiyi Sun, Independent Study, Fall 2020
4. Jiawen Zhang, Independent Study, Fall 2020
5. Raina Zhang (Denison University). Early Experience Summer Research Mentor, Summer 2019
6. Jessy Niu (Denison University). Early Experience Summer Research Mentor, Summer 2019

Doctoral Committees

1. Catalina Medina (Statistics), Advancement Proposal Committee, Fall 2023.
2. Sebastian Rivera (Political Science), Advancement Proposal Committee, Fall 2021.
3. Melina Much (Political Science), Advancement Proposal Committee, Spring 2021.

Undergraduate Comittees

1. Lukas Heath (New College of Florida), Thesis Committee, Spring 2018

American Association for the Advancement of Science (January 2024 - present)
American Statistical Association (March 2016 - present)
Caucus for Women in Statistics (January 2024 - present)
International Association for Statistical Education (May 2016 - present)
International Society for Bayesian Analysis (November 2019 - present)
Mathematical Association of America (April 2024 - present)
Royal Statistical Society (May 2022 - May 2023)
American Computing Machinery (August 2019 - July 2022)
American Educational Research Association (February 2014 - December 2016)