I'm a lifelong educator and academic,

and proud to be a member of the Tartan family

Courses Taught

• 36-225, Probability Theory, 2022, 2024

• 36-220, Engineering Statistics, 2013 - present (varous semesters)

• 36-202, Methods for Statistics & Data Science, 2015 - present

• 36-200, Reasoning with Data, 2017 - present

• 36-198, Research Training: Writing in Statistics, 2024 

• 36-201, Statistical Reasoning and Practice 2004 - 2017

Research Highlights

• Co-author, “Do LLMs write like humans?  Variations in grammatical and rhetorical styles”, https://doi.org/10.1073/pnas.2422455122, Proceedings of the National Academy of Sciences, Vol. 122, No. 8, 2025.  Jointly with Alex Reinhart, David West Brown, Ben Markey, Michael Laudenbach, Kachatad Pantusen, and Ronald Yurko.  (Dietrich College news item, February 21, 2025: https://www.cmu.edu/dietrich/news/news-stories/2025/february/large-language-models-writing-text.html)

• Co-author, “Developing Students’ Statistical Expertise through Writing in the Age of AI”, https://www.tandfonline.com/doi/full/10.1080/26939169.2025.2497547?src=, Journal of Statistics and Data Education, April 28, 2025.  Jointly with Laura Deluca, Alex Reinhart, Michael Laudenbach, Sydney Miller, and David West Brown.

• Co-Principal Investigator, CMU Generative-AI for Education Tools R&D Seed Grant-awarded study to evaluate the implementation of the AI-Enhanced Writing Studio automated feedback system for student writing in undergraduate Data Science, 2024 - 2026.  Jointly with Suguru Ishizaki, David West Brown, David Kaufer, Alan Kohler, and Jeremy Rosselot-Merritt. 

• Co-author, “Visualizing Formative Feedback in Statistics Writing: A Case Study of DocuScope Write & Audit and Student Motivation”, https://www.sciencedirect.com/science/article/pii/S1075293524000230, Assessing Writing, vol. 60, April 2024 (Editor's Choice Pick).  Jointly with Michael Laudenbach, David West Brown, Zhiyu Guo, Suguru Ishizaki, and Alex Reinhart. 

• Co-Principal Investigator, Dietrich Seed Grant-supported pilot study to evaluate the implementation of the DocuScope Write & Audit automated feedback system for student writing in undergraduate Data Science, Spring 2023.  Jointly with Alex Reinhardt, Philipp Burckhardt, Michael Laudenbach, Zhiyu (Jessica) Guo, and David West Brown. 

• Co-Principal Investigator, “Data-Driven Technology-Enhanced Learning for Statistics and Data Science.” Simon Initiative Seed Grant-supported research to develop and incorporate causality diagrams in introductory Statistics, Summer 2020 - Spring 2021.  Jointly with Alex Reinhardt and Ciaran Evans. 

• Presentation, “Incorporating Data Analysis and Writing in Introductory Statistics.”  https://cdn.ymaws.com/amatyc.org/resource/resmgr/2021_conference_proceedings/s109_incorporating_data_anal.pdf.  Annual Conference of the American Mathematical Association of Two-Year Colleges, October 2021, Phoenix, Arizona.  Jointly with Rebecca Nugent and Philipp Burckhardt. 

• Poster Presentation, “Exploring how Students Reason about Correlation and Causation.”  https://www.causeweb.org/cause/ecots/ecots20/posters/2-03.  Electronic Conference on Teaching Statistics (eCOTS), 2020.  Jointly with Ciaran Evans, Alex Reinhardt, Philipp Burckhardt, and Rebecca Nugent. 

• Presentation, “Using think-aloud interviews to assess student understanding of statistical concepts,” https://www.causeweb.org/cause/uscots/uscots19/breakout/2B.  United States Conference on Teaching Statistics (USCOTS), May 17-18, 2019.  Jointly with Alex Reinhardt, Philipp Burckhardt, Peter Elliot, Ciaran Evans, Amanda Luby, Mikaela Meyer, Josue Orellana, Ron Yurko, Jerzy Wieczorek, and Rebecca Nugent. 

• Poster (People’s Choice Award Winner), “Developing an Assessment for Concepts in Introductory Statistics and Data Science,” https://www.stat.cmu.edu/teachstat/think-aloud-poster-2018.pdf, CMU Eberly Center Teaching and Learning Summit, November 1, 2018.  Jointly with Alex Reinhardt, Philipp Burckhardt, Peter Elliot, Ciaran Evans, Sangwon (Justin) Hyun, Kevin Lin, Chris Makris, Mikaela Meyer, Josue Orellana, Ron Yurko, Jerzy Wieczorek, and Rebecca Nugent. 

• Poster Presentation, "Identifying misconceptions of introductory data science using a think-aloud protocol," Electronic Conference on Teaching Statistics (eCOTS), May 2018.  Jointly with Sangwon (Justin) Hyun, Philipp Burckhardt, Peter Elliott, Ciaran Evans, Kevin Lin, Amanda Luby, Christopher Peter Makris, Josue Orellana, Alex Reinhart, Jerzy Wieczorek, Ron Yurko, and Rebecca Nugent.  https://www.causeweb.org/cause/ecots/ecots18/posters/3-10

• Poster Presentation, “R-Trek:  Building Early Data Science Tools for a Diverse Audience”, Electronic Conference on Teaching Statistics (eCOTS), Spring 2018.  Jointly with Kayla Frizoli.  https://www.causeweb.org/cause/ecots/ecots18/posters/3-02

Service Highlights

• Faculty Advisor.  Summer Undergrad Project to Build Data Repository.  Shunyi (Jess) Zhang.  Jointly with Joel Greenhouse and Alex Reinhardt.  Carnegie Mellon University Department of Statistics & Data Science, Summer 2023.

• Faculty Advisor.  “What Family Dynamics Produce Future Scientists?”  Seyoung Lee and Shangyi Zhu.  Jointly with Jungwan Yoon.  Carnegie Mellon Community Based Research Program, Summer 2022 - Spring 2023.

• Faculty Advisor.  SURG-supported study, “Identifying Risk Factors for Depression in the First Year of College.”  Leonard Sokol.  Carnegie Mellon University, Spring 2011 - Spring 2013.

Award Highlights

• Winner, Elliot Dunlap Smith Award for Distinguished Teaching and Educational Service.  Dietrich College of Humanities and Social Sciences, Carnegie Mellon University, 2025
  https://www.cmu.edu/dietrich/news/news-stories/2025/april/gordon-weinberg-teaching-award-2025.html