Chelsea Uggenti (she/her)

Chelsea Uggenti is an Assistant Professor (Teaching Stream) in the Department of Statistics and Actuarial Science (SAS) at the University of Waterloo, and is currently the Director of the SAS Teaching Assistant (TA) Program. Chelsea's research interests include multi-state modeling, joint frailty modeling, wildland fire science, and statistical education. She is most passionate about teaching. Her teaching philosophy is grounded in supporting students' journey as they claim their education. She provides opportunities for active learning in the classroom, incorporates universal design for learning (UDL) best practices in course design and assessments, and prioritizes the development of her student's written/oral communication skills. In particular, Chelsea fosters students' communication of statistical information to individuals in other fields via knowledge translation or knowledge exchange; a crucial skill for interdisciplinary collaboration. Chelsea served as an instructional assistant and teaching assistant for eight years as both an undergraduate and graduate student. She also spent two years as a TA Training Program Instructor at UWO's Centre for Teaching and Learning. During this time she developed an appreciation for the important role that TAs play in supporting students' learning and assisting instructors' teaching. As part of her doctoral research, Chelsea investigated graduate TA training and development in the mathematical and statistical sciences. Chelsea is driven to assist in the training of teaching assistants – focusing on discipline-specific training – and aims to provide pathways for graduate students to develop their teaching identity.

• 2023, A.Stat. Designation, Statistical Society of Canada

• 2022, PhD, Statistics, collaborative specialization in environment and sustainability, University of Western Ontario

• 2017, MSc, Statistics, University of Western Ontario

• 2016, BA, Mathematics, Wilfrid Laurier University

• STAT 202 - Introductory Statistics for Scientists
  • Taught in 2023, 2024, 2025
• STAT 230 - Probability
  • Taught in 2022, 2026
• STAT 231 - Statistics
  • Taught in 2024
• STAT 322 - Sampling and Experimental Design (Non-Specialist Level)
  • Taught in 2022
• STAT 331 - Applied Linear Models
  • Taught in 2024, 2025
• STAT 332 - Sampling and Experimental Design
  • Taught in 2023
• STAT 372 - Survey Sampling and Experimental Design Techniques for Business
  • Taught in 2023
• STAT 938 - Statistical Consulting
  • Taught in 2025
• SYDE 334 - Applied Statistics
  • Taught in 2025

* Only courses taught in the past 5 years are displayed.

• Kim, M., & Uggenti, C. (2025). The Ups and Downs of the Polling Software Vevox. FYMSiC Newsletter.

• Garaschuk, K., & Uggenti, C. (2023). Tips for New (and Seasoned) Instructors. CMS Notes.

• Zelem, N., Skrzydlo, D., & Uggenti, C. (2023). First steps towards implementing Universal Design for Learning to support equitable assessments. International Association for Statistical Education (IASE) Satellite Conference Proceedings.

• Uggenti, C., & McCluskey, C. C. (2018). Global stability for infectious disease models that include immigration of infected individuals and delay in the incidence. Electronic Journal of Differential Equations, 2018(64), 1-14.