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The following is a collection of resources that can help convey background to the research being conducted by our group. A list of guiding resources for scienitific writing are also available at the end.
BC COVID-19 Modelling Group
The BC COVID-19 Modelling Group works on rapid response modelling of the COVID-19 pandemic, with a special focus on British Columbia and Canada.The interdisciplinary Group was convened by Caroline Colijn (SFU) and Dan Coombs (UBC) with support from the Pacific Institute for the Mathematical Sciences.
Book Recommendations
Statistics
Machine Learning/Data Science
An Introduction to Statistical Learning: with Applications in R. James, Hastie, Witten, and Tibshirani. 2013. (Link)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Hastie, Tibshirani, and Friedman. 2009. (Link)
Introduction to Deep Learning. Sandro Skansi. 2018. (Link)
An Introduction to Machine Learning. Miroslav Kubat. 2017. (Link)
Introduction to Data Science. Laura Igual and Santi Seguí. 2017. (Link)
Linear and Nonlinear Programming. David G. Luenberger and Yinyu Ye. 2016. (Link)
Mathematics
Biological Topics
Infectious Diseases of Humans: Dynamics and Control. Roy Anderson and Robert May. 1992. (Link)
Inferring Phylogenies. Joseph Felsenstein. 2003. (Link)
Phylogenetics in the Genomic Era. Celine Scornavacca, Frédéric Delsuc, and Nicolas Galtier. 2020. (Link)
Phylogenomics. Christoph Bleidorn. 2017. (Link)
Modeling Life. Alan Garfinkel, Jane Shevtsov, and Yina Guo. 2017. (Link)
Bioinformatics for Evolutionary Biologists. Bernhard Haubold and Angelika Börsch-Haubold. 2017. (Link)
Applied Bioinformatics. Paul M. Selzer, Richard J. Marhöfer, and Oliver Koch. 2018. (Link)
Online Resources
Phyloseminar: http://phyloseminar.org/
BEAST: https://beast.community/first_tutorial
PANGEA Consortium: http://pangea-hiv.org/
Workshops
Banff International Research Station (BIRS): https://www.birs.ca/events/2019 . All workshops are recorded so this is a treasure trove of math and research talks.
- Mathematical Approaches to Evolutionary Trees and Networks
- Particle-Based Stochastic Reaction-Diffusion Models in Biology
- Stochastic and Deterministic Models for Evolutionary Biology
SFU Research Commons: https://www.lib.sfu.ca/about/branches-depts/rc/services/workshops
Writing Resources
There are many scientific and academic writing resources and services available for SFU students, staff, and faculty. Some services for graduate students are linked here:
Academic writing, reading, speaking, listening and English Language Learner support available
Connect with other graduate writers, QnA forums, and share resources
- Thesis Writing Group (Online)
Fridays 9 am - 12 pm PST
Set goals and write with the quiet presence and support of other writers
Send an email to Robyn Long to join (robyn_long@sfu.ca)
Workshops offered to learn how to create quality writing for graduate students
Some SFU recommended resources:
Style, clarity, and paraphrasing
- How to Write and Publish a Scientific Paper by Barbara Gastel and Robert A. Day
Book in the SFU Library Catalogue
Video tutorials
Recommended technical 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
Some other helpful resources:
- Annotated mathematics scientific paper
- General Principles of Mathematical Communication
- Blog on writing a scientific paper
- Science Research Writing For Non-native Speakers Of English by Hilary Glasman-Deal