Talks and Workshops

Here is a list of the talks and workshops I have given in the last 5 years:

Timbers, T. (2025). Prompting the Professoriate: A Qualitative Study of Instructor Perspectives on LLMs in Data Science Education. Math Faculty Teaching Seminar, University of Waterloo (Virtual) Local
Timbers, T., Burak, K. (2025). Introduction to machine learning in Python with Scikit-learn. posit::conf (Atlanta, GA) International
Timbers, T. (2025). Designing and delivering data science programs for different audiences. Statistical Society of Canada Annual Meeting (Saskatoon, SK) National

Timbers, T, Chen, D. (2024). Introduction to machine learning in Python with Scikit-learn. posit::conf (Seattle, WA) International
Timbers, T. (2024). Societal Pressures for Trustworthy Data Analysis. Joint Statistical Meeting (JSM) (Toronto, ON) International
Burak, K., Chen, D., Rodriguez-Arelis, A., Timbers, T. (2024). How to create and distribute R packages (workshop). Statistical Society of Canada Annual Meeting (St. John’s, NL) National
Timbers, T., Campbell, T. (2024). Reflections on scaling an Introduction to Data Science. Statistical Society of Canada Annual Meeting (St. John’s, NL) National

Timbers, T. (2023). 10 simple rules for teaching Data Science. International Day of Women in Statistics and Data Science 2023 (Virtual Conference) International
Timbers, T. (2023). Opinionated practices for teaching reproducibility: motivation, guided instruction, and practice. Joint Statistical Meeting (JSM) (Toronto, ON) International

Timbers, T. (2022). 10 simple rules for teaching R for Data Science (Keynote). Cascadia R Conference (Virtual Conference) Local
Timbers, T. (2022). Reproducibility: you can do data analysis without it, but should you? Joint Statistical Meeting (JSM) (Washington, DC, USA) International
Campbell, T., Lee, M., Timbers, T. (2022). Creating Open Resources for an Introductory Data Science Course. Statistical Society of Canada Annual Meeting (Virtual Conference) National Burr, W., Timbers, T. (2022). Reproducibility Workshop. Statistical Society of Canada Annual Meeting (Virtual Conference) National

Timbers, T. (2021). Opinionated practices for teaching reproducibility: motivation, guided instruction and practice. Canadian Statistical Sciences Institute (CANSSI) Ontario / University of Toronto Statistical Sciences Data Science Applied Research and Education Seminar (ARES) (remote hosted in Toronto) Local
Timbers, T. (2021). Opinionated practices for teaching reproducibility: motivation, guided instruction and practice. Centre de recherches mathématiques – Université de Montréal statistics colloquium series (remote hosted in Montreal) Local
Timbers, T. (2021). Teaching Data Science Authentically Using Open Source Educational Resources. Joint Statistical Meeting (JSM) (Virtual Conference) International
Timbers, T. (2021). Automated feedback with Jupyter, nbgrader and R. Statistical Education Workshop on Open Source Solutions for Online Teaching, Assessment and Grading. Statistical Society of Canada Annual Meeting (remote hosted in Canada) National
Timbers, T. (2021). Introduction to reticulate. R Ladies Tunis (remote hosted in Tunis, Tunisia) Local
Timbers, T. (2021). Programming with tidyverse functions. R Ladies Vancouver (remote hosted in Vancouver, BC) Local
Timbers, T. (2021). Teaching reproducibility: motivation, direct instruction and practice. Toronto Data Workshop on Reproducibility, University of Toronto. (remote hosted in Toronto) Local