Haskell is currently my favorite language. It deeps connection to mathematics has reinvigorated my interest in programming. I have a solid understanding of the type system, and how to work out practical problems using Haskell. I 

During my PhD I extensively used he Python language  as both a rapid prototyping framework and using it's numerical and FFI abilities. I can also teach you how to generate publication quality graphs using matplotlib, as well as working with large amounts of time series like data using the Pandas library.

I've been managing servers for many years, and I know the ins and outs of them very well. Currently exploring cloud based solutions such as Docker.

I've used C for it's high performance capabilities in a range a numerical applications. I can help with OpenMP, MPI for parallel programming, as well as algorithm design. 

I've used C++ for developing numerical simulations. Most of the numerical computation, simulations of spiking neural networks, I did during my PhD was in C++. 

I used Java as a way to learn about software design patterns, as well as using it a lot during my Masters. I can help with OOP concepts, generics, and any other stumbling blocks. I can also help with distributed programming in Java.

Basic repository management, lots of experience getting out of bad situations, github, work flow practices.

Personal details

Tristan W.

Summary

Technical skills