Teaching

• In spring and sumemr 2024 I offered a Bayesian Learning Group at the University of Arizona, where we worked through Richard McElreath’s Statistical Rethinking.

• Many of the workshops I offered through the University of Arizona CCT-Data Science team’s “Workshop Wednesdays” series are available on the CCT-Data Science website. Examples: big data in R, reproducible reports in Quarto

• In 2023, I co-taught the Fall 2023 Reproducible Research in R workshop series with the University of Arizona CCT-Data Science team.

• Working with the RoLE Model Team I co-developed and delivered the inaugural “Multidimensional Biodiversity Data” workshop, offered in conjunction with the 2023 Evolution meeting in Albuquerque, NM.

• I contributed guest lectures and class activities to the course “Ecological and Evolutionary Theory for a Changing World” at the University of Maine (taught by my postdoctoral advisor, Dr. Andy Rominger). This course interleaves a survey of major theories in ecology and evolution with a critical historical perspective on the history of our field and practical exercises in data analysis and ecological modeling using R and GitHub.

• In fall 2020, I independently developed and taught lab modules for UF’s introductory environmental studies course, EVS2000L. These included a mix of field exercises and tutorials for analyzing spatial and temporal data using R.

Materials

For more examples of my teaching materials, see my Curricula section.