I'm a recent grad of Macalester College, with a double major in Statistics and Computer Science. I believe in the super power of data and statistics. Programming and statistical literacy is increasingly important if we want to understand the complex world we live in. It's also great fun! As a new form of literacy, I believe that this power should be within everyone's reach, which is why I wholeheartedly support the open source movement and, in particular, R.

My main interests include statistical computing and data visualization. The former lets you understand data and transform information into knowledge! Data vis is basically complementing this process by making data come alive, almost tangible, something that we can instantly develop an intuition for. Both of these fields should be human-centered, and completely reproducible (read: let's all just use LaTeX and markdown scripts), focusing on the best way to translate data from an incomprehensible array of numbers and strings into a beautiful, elegant object.

I'm also fluent in more general programming, with a solid understanding of languages like Python, Java, C, C++ and Javascript (accompanied by the rest of the web stack: HTML5, CSS3, AJAX, jQuery, ...). I've dabbled a bit into, and feel familiar with, many other fields, including: OpenGL and computer graphics; low-level programming and assembly language; database management systems and SQL; computational linear algebra; machine learning.

Aside from my majors, I also spent my college years minoring in Physics and Sociology and taking dance classes!

Take a look at my work tab to learn more. If you like what you see, feel free to contact me!