Resources

Working at the intersection of mathematics, statistics, evolution, and epidemiology, my group draws members from a variety of backgrounds. Below are some resources to build foundational knowledge in these interdisciplinary fields.

Workshops and training materials

• SISMID: module webpage https://jessicastockdale.github.io/SISMID2023-transmission-genomics/

• Taming the Beast: https://taming-the-beast.org/workshops/Taming-the-BEAST-SBT/

Books

• Modern Statistics for Modern Biology. Susan Holmes and Wolfgang Huber. 2019.

• Infectious Diseases of Humans: Dynamics and Control. Roy Anderson and Robert May. 1992.

• Inferring Phylogenies. Joseph Felsenstein. 2003.

• An Introduction to Statistical Learning: with Applications in R. James, Hastie, Witten, and Tibshirani. 2013.

• The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Hastie, Tibshirani, and Friedman. 2009.

Writing resources

• Duke Scientific writing resource: https://cgi.duke.edu/web/sciwriting/

• MIT technical writing guide: http://web.mit.edu/me-ugoffice/communication/technical-writing.pdf

• SFU’s writing resources: https://www.lib.sfu.ca/about/branches-depts/slc/writing