I'm a software developer working on his masters in mathematics. I enjoy solving problems, but I'm not too picky about what domain they come from. In the past I've presented my undergraduate research on radial basis networks at Texas math conferences, studied high-performance computing at the Texas Advanced Computing Center at UT Austin. I'm currently working on my thesis for my M.S. in mathematics. It involves sovling systems of differential equations by method of gradient descent under a Sobolev norm.
personal technical computer science math blog
Sergei Lvovich Sobolev was a Russian mathematician who defined his norm as an alternative to the Euclidean norm (think distance formula). This norm allows for gradient descent, which is usually a pretty poorly performing algorithm, to enjoy fast convergence to a solution to our system of differential equations.

The NumPy code I've written currently is able to solve linear systems of two equations, but soon solutions to non-linear systems should be possible.

Feel free to poke around my blog and steal anything you find interesting! Most of it is GNU GPLv3 licensed.