I am interested in taking graduate students at any level who are interested in quantitative methods in biology. Students in my lab will be able to (or be willing to learn) program computers in S (using R), a compiled language such as C or Fortran, and/or a scripting language such as Python or Scheme in a Unix-like environment. Shell programming would also be useful. Students are also encouraged to extend or develop their mathematical skills. A background in biology, statistics, mathematics, or computer science would be valuable. I can also co-supervise students who are interested in using quantitative methods for their thesis work, but for whom such methods are not a primary focus of research.
I am open to collaboration on a wide variety of topics. Past collaborations have been based on projects where specialist statistical expertise was needed (ie I was the data monkey). However, I'm trying to restrict future collaborations to projects that involve Phylogenetic Comparative Methods or Mark-Recapture Analysis. I've also got some good ideas for more theoretical statistics projects and methodological development. Here is a list of my current projects. They could all be used as a basis for student research projects, at Honours, Masters, or PhD level.
Missing data in phylogenetic comparative analyses
Variance estimation in GEE models with a single cluster