Happy to be involved with the 2017, 2018 & 2019 Google Summer of Code (GSoC) program as mentor for students working on projects for The Julia Language.

____________________________________________________________________________________________

Some of my scientific programming code is publicly available through GitHub here.

In this section, I list the programming languages I use, and briefly discuss the the scientific, mathematical, and simulation approaches I use in my work.

**PROGRAMMING LANGUAGES**

Programming languages I have used in my research include: Python/Cython, Mathematica, Fortran 77/90, C, MATLAB, R and Julia.

As a scientist with formal training in pure mathematics and ecology, I develop a computational and flexible approach to answering interesting scientific questions.

**MODELLING AND DECISION ANALYSIS**

I apply my training in several broad scientific approaches, including** applied dynamical systems theory** and **statistical model fitting** (information criteria approaches, maximum likelihood, and Bayesian) to applied projects and work in this area.

**MATHEMATICAL APPROACHES**

My graduate research included **classical random community matrix modelling** and **non-linear population and community stability analysis** (e.g. eigenvalues, bifurcation analysis, Lyapunov exponents, Floquet multipliers). Extending this training, my postdoctoral work includes **basic singular perturbations** approaches as well as **stochastic dynamical systems theory**. My quantitative skills have been honed through formal training, research and practice.

**SIMULATION APPROACHES**

As many of these traditional mathematical approaches can be quite difficult to apply to large ecological models, I also use simulation approaches that use **numerical parameter studies** to try and uncover similar phenomena in a qualitative fashion. Numerical considerations have involved learning approaches from **computer science**, such as object oriented design, functional/pure programming, compiler technologies, as well as **software engineering** (e.g. unit testing, version control systems and documentation tools).

More information about my code, data and scientific programming coming soon!