Computational Mathematician, Senior Machine-Learning Architect.
I have spent a lot of time focusing on computational reproducibility in science (inspired by struggles replicating my own research), and thinking about how to democratize access to quantitative decision-making tools. If you have ideas, please get in touch.
You can find out more on my Resume and Interactive CV.
PhD in Applied Mathematics, 2020
University of Colorado: Denver
MS in Applied Mathematics: Mathematics of Science and Engineering, 2017
University of Colorado: Denver
My attempt to embed interactive python into this site.
Kanye West meets Artificial Intelligence.
Taking still images and turning them into animations. Some of my earliest work in computational mathematics.
The core body of work from which my computational artistic endeavors stem.
Submit your request to birth an evolving random art piece on this site.
Like… the stock market, but faster!
Striking a balance between information and entertainment is difficult. Here are some youtube channels to learn from.
Have an event through your SIAM Student Chapter? Start here for high-res images.
My favorite programming language. Here are links that will help.
Writing code is one thing, doing so in a comprehensible way is another.
Markdown, Vim, and how to be a better writer.
Links and online resources I found useful.
The command line is the best utility. Get used to it and you will become one with the machine.
Version control with Git (and Github).