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

**indicates a co-author who was a graduate student mentored by Dogucu at the preparation 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. 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. Dogucu, M. (2025) Reproducibility in the Classroom Annual Review of Statistics and Its Application. (2), 89-105.
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. (2021) Contributing to Open Education: Why, How, and What I am Doing. AMS Notices, 68(3), 367-369
5. Dogucu, M. (2020) Teaching Careers (for Statisticians): What You Should Know. Amstat News (521), 32-34.
6. 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.

Young Investigator Award	American Statistical Association, Teaching of Statistics in the Health Sciences Section	2021
Diversity Travel Scholarship	rstudio::conf	2018
Travel Award	Women in Statistics and Data Science Conference	2017
William E. and Gail P. Loadman Scholarship	The Ohio State University, College of Education and Human Ecology	2014-2017
Student Research Award	The Ohio State University, Educational Studies Department	2014-2015
Marilyn Ruth Hathaway Education Scholarship	The Ohio State University, College of Education and Human Ecology	2013-2014

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. The Good, The Bad, and The Ugly Ways of Representing Data. Invited talk at Institute for Data Science and Social Impact at Harvey Mudd College. Claremont, CA. March 2025
2. Dogucu, M. & Çetinkaya-Rundel, M. Tools and recommendations for reproducible teaching . Invited talk at Royal Statical Society Teaching Statistics SIG event at TALMO: Teaching Open, Transparent, and Reproducible Data. Online. March 2025
3. Dogucu, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Invited talk given at the Department of Statistics, University of Auckland, Auckland, NZ, December 2024.
4. 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.
5. Dogucu, M. Preparing to be a Principal Investigator in Statistics and Data Science Education Research. Invited Talk at Preparing to Teach Workshop. Corvallis, OR. August 2024.
6. Dogucu, M. Training Instructors to Advance Bayesian Thinking in STEM. Invited talk given at International Society for Bayesian Analysis (ISBA) World Meeting. Venice. July 2024.
7. 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".
8. Dogucu, M. Updating Beliefs on Bayesian Education: Reflections on Research and Teaching Projects. Invited talk given at Aalto University and Finnish Center for Artifical Intelligence. Helsinki, Finland. June 2024.
9. Dogucu, M. Teaching Accessibly and Teaching Accessibility in Data-Intensive Courses. Invited talk given at AAAS-IUSE workshop. Online. April 2024.
10. Dogucu, M. Notes for data science students. Invited talk given at The Pacific Alliance for Low-income Inclusion in Statistics and Data Science. Online. April 2024.
11. Dogucu, M. What is going on in undergraduate Bayesian education across the pond?. Invited talk at Royal Statical Society Teaching Statistics SIG event at TALMO: Teaching Bayesian Methods. Online. March 2024
12. Dogucu, M. An Overview of Undergraduate Bayesian Education. Invited Talk at 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.
13. Dogucu, M. Accessibility is a Must in the Data Science Curriculum. Invited Talk at Vassar College. Poughkeepsie, NY. September 2023.
14. Dogucu, M. Automating grading workflow with the gradetools package in R. Invited Poster Presentation at Joint Statistical Meetings. Toronto, Canada. August 2023.
15. Dogucu, M. Tips for New Principal Investigators in Statistics and Data Science Education Research. Invited Talk at Preparing to Teach Workshop. Toronto, Canada. August 2023.
16. 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.
17. 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.
18. Dogucu, M. Reproducible Teaching in Statistics and Data Science Curricula. Invited talk at Toronto Reproducibility Workshop, February 2023, Online
19. Dogucu, M. Teaching Bayesian modeling with Bayes Rules!. Invited talk at Bayes@Lund, January 2023, Online
20. Dogucu, M. Teaching Bayesian modeling with Bayes Rules!. Invited talk at International Society for Bayesian Analysis World Meeting, July 2022, Montreal, Canada
21. Dogucu, M. Teaching Accessibly and Teaching Accessibility. Keynote talk at useR! Conference, June 2022
22. Seo, J. Dogucu, M. Teaching Visual Accessibility in the Introductory Data Science Classes: Why, What, When, and How. Invited talk at Symposium on Data Science & Statistics, June 2022
23. Dogucu, M. A First Bayesian Course: Why, What, and How. Invited talk at Royal Statical Society Teaching Statistics SIG event at TALMO: The past, present and future of statistics teaching, May 2022
24. 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
25. Dogucu, M. Studying Data Science in College. STEM panel talk given at Northwood High School, Irvine, CA April 2022.
26. Dogucu, M. Teaching Bayesian Modeling at the Undergraduate Level. Invited talk given at Department of Statistics, University of California Berkeley, January 2022.
27. Dogucu, M. First Steps of a Data Science Career. Invited talk given at Center for Computational and Applied Mathematics, California State University Fullerton, October 2021.
28. Dogucu, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Invited talk given at Southern California R Users Group and R Ladies Irvine meetup, Online, October 2021.
29. Dogucu, M. & Shahbaba B. Data Science in Health Sciences for High School Students. Talk given at Joint Statistical Meetings, Online, August 2021.
30. Dogucu, M., Johnson, A. and Ott, M. Teaching and Learning Bayesian Statistics with {bayesrules}. Talk given at useR! conference, Online, July 2021.
31. 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.
32. Dogucu, M. Bayesian Statistics for Undergraduate Learners. Invited seminar talk given at University of California Riverside, Department of Statistics, Online, April 2021.
33. 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.
34. 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.
35. 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.
36. 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.  
37. 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.
38. 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.
39. Dogucu, M. Web Scraping in the Statistics Curricula: Challenges and Opportunities. Invited talk given at Duke University, Department of Statistical Sciences. Durham, NC. November 2018.
40. Dogucu, M. & Çetinkaya-Rundel, M. Teaching Web Scraping: Integrating Data Science into Statistics. Talk given at Electronic Conference on Teaching Statistics. Online. May 2018.  
41. Dogucu, M. & Ha, S. Handling Missing Data in R. Invited talk given at St. Thomas University. Miami Gardens, FL. March, 2018.
42. Dogucu, M. & Ha, S. Handling Missing Data in R. Talk given at R Ladies Miami. Miami, FL. March, 2018.
43. Dogucu, M. & Ha, S. Handling Missing Data in R. Talk given at R Ladies New York City. New York, NY. March, 2018.
44. 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.
45. 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.
46. 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.
47. Dogucu, M. When Missing Data Are Not a Nightmare: Planned Missing Designs. Invited talk given at Denison University. Granville, OH. December, 2016.
48. Dogucu, M. When Missing Data Are Not a Nightmare: Planned Missing Designs. Invited talk given at New College of Florida. Sarasota, FL. December, 2016.
49. 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.
50. 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.
51. Dogucu, M. Introduction to Multilevel Modeling. Invited lecture given at Denison University. Granville, OH. April, 2016.
52. 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.
53. 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.
54. 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.
55. Dogucu, M. Introduction to Factor Analysis . Invited lecture given at Bahcesehir University. Istanbul, Turkey. May 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.

• Member, American Statistical Association Committee on International Relations in Statistics, January 2025 - present
• Member, American Statistical Association / National Council of Teachers of Mathematics (ASA/NCTM) Joint Committee on K-12 Education in Statistics and Probability, January 2024 - present
• Program Chair, Section on Bayesian Education Research and Practice (BERaP), International Society for Bayesian Analysis (ISBA), October 2022 - present
• Co-chair, Undergraduate Statistics Project Competition and Electronic Undergraduate Statistics Research Conference, July 2019 - December 2022
• Advisory Council Member, MetaDocencia July 2020 - December 2022
• Co-chair, Education Track of Symposium on Data Science and Statistics (SDSS) 2021, 2020 - 2021
• Convener, Isolated Statisticians Interest Group, American Statistical Association, August 2018 - August 2020
• Serving member, American Educational Research Association Division D Graduate Student Council, April 2015 - April 2017
• Co-founder, R Ladies Sarasota, November 2017 - May 2018
• Founder & Co-organizer, R Ladies Columbus, October 2016 – July 2017

• National Science Foundation, 2024
• Oak Ridge Associated Universities (ORAU), 2023, pre-proposal review

• Harvard Data Science Review
• Journal of Experimental Education
• Journal of Statistics and Data Science Education (x8)
• Statistics Education Research Journal (x2)
• Teaching Statistics
• Technology Innovations in Statistics Education (x2)
• The American Statistician

• DataFest at University of California Los Angeles, 2024
• Two-Year Colleges DataFest, 2024
• International Conference on Teaching Statistics, 2022
• ACM SIGMOD Conference DataEd Workshop, March 2022
• useR! 2021 Tutorials, January 2021
• The International Science and Engineering Fair, American Statistical Association Special Awards in Statistics, Spring 2021
• Undergraduate Statistics Class Project Competition (national), Summer 2019 & Summer 2017

• Organizer, Contributed Paper Session at Joint Statistical Meetings. Portland, OR. August 2024.
• Organizer, Invited Session at International Society for Bayesian Analysis (ISBA) World Meeting. Venice, Italy. July 2024.
• Organizer, Electronic Conference on Teaching Statistics (eCOTS) Regional Conference at University of California Irvine, June 2024.
• Organizer, Webinar on Teaching Bayesian Methods in Psychology for Section on Bayesian Education Research and Practice (BERaP), International Society for Bayesian Analysis (ISBA), December 2024.
• Session Chair, Introducing Bayesian methods in statistics and data science curriculum, Joint Statistical Meetings, Toronto, CA - August 2023
• Organizer, Invited Panel: Improving Data Science Education Infrastructure at Community Colleges, Teaching, and Research Universities, Joint Statistical Meetings, Washington DC, August 2022
• Co-organizer (with Shu-Min Liao), Birds of a Feather: Integrating Inclusive Pedagogy into Statistics and Data Science Education, Section on Statistics and Data Science Education, Joint Statistical Meetings, Online - August 2022
• Organizer, Bayesian Statistics in the Undergraduate Curriculum, Section on Bayesian Statistical Science Roundtable Discussion, Joint Statistical Meetings, Online - August 2021
• Chair and Organizer, Birds of a Feather: Teaching (with) R, Section on Statistics and Data Science Education, Joint Statistical Meetings, Denver, CO - July 2019
• Co-organizer, Liberal Arts Data Science Workshop held at New College of Florida in January 2018.

• Faculty Advisor, Data @ UCI Student Club, UC Irvine, Summer 2023 - Present & Winter 2022 - Spring 2022.
• Member, Advisory Council, Data Science Initiative, UC Irvine, Winter 2021 - Spring 2022.
• Member, Council on Teaching, Learning and Student Experience (CTLSE), UC Irvine, Fall 2020 - Spring 2022.
• Member, Professor of the Year Award Review Committee, UC Irvine, April 2021.
• Organizer, DataFest, Denison University, Spring 2019.
• Fulbright Review Panelist, Ohio State University, September 2016.
• Reviewer, Fall Undergraduate Research Student Poster Forum, Ohio State University, Fall 2016.

• Judge, Project Expo, Donald Bren School of Information & Computer Sciences, UC Irvine, Spring 2024.
• Member, Lecturer Review Board, Donald Bren School of Information & Computer Sciences, UC Irvine, Fall 2019 - Spring 2022.
• Reviewer, College of Education and Human Ecology Undergraduate Scholarships, Ohio State, University, Spring 2016.
• Student volunteer & reviewer, College of Education and Human Ecology Student Research Forum, Ohio State University, Fall 2015.

• Member, Merit Review Committee for Associate Professor, Department of Statistics, UC Irvine, Fall 2024
• Chair, Merit Review Committee for Assistant Professor, Department of Statistics, UC Irvine, Fall 2024
• Grader, Data Analysis Qualifying Exam, Department of Statistics, UC Irvine, Summer 2020, Summer 2024
• Chair, MS Statistics Admissions Committee, Department of Statistics, UC Irvine, Winter 2024
• Member, Merit Review Committee for Continuing Lecturer, Department of Statistics, UC Irvine, Fall 2019, Winter 2022
• Member, MS Statistics Admissions Committee, Department of Statistics, UC Irvine, Winter 2020, Winter 2021, Winter 2022
• Founding faculty advisor, Student Chapter of the American Statistical Association at New College of Florida, 2017 - 2018.
• Graduate Admissions Committee Member, Data Science Program, College of Florida, 2017 - 2018.
• Search Committee Member, Director of Data Science, New College of Florida, Fall 2017.
• Search Committee Member, Quantitative Research, Evaluation and Measurement Faculty Search, Ohio State University, 2016 - 2017.
• President, Quantitative Research, Evaluation and Measurement Student Group, Ohio State University, Fall 2014 - Summer 2015.

1. Dr. Sinem Demirci, 2022 - 2023

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

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

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

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.

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)