I am an applied research and data scientist currently working with a multi-talented advanced technology and innovation team and serve as an advisor on an enterprise A.I. Council. I have experience producing cutting edge methodologies, building high-performance predictive models, and developing rapid prototypes.

For data munging, analysis, visualization, and deep dives, I use the PyData stack. However, various command-line tools can be found in my daily arsenal. Git is my distributed version control system of choice.

I hold an Honours B.Sc. degree from York University in Applied Mathematics and Biology, received my doctorate from Michigan State University, and worked as a post-doctoral researcher at the University of Michigan. As a scientist, my work focused on protein-protein interactions, protein-nucleic acid interactions, and developing state-of-the-art computational tools for understanding complex biological systems. An up-to-date list of my peer-reviewed scientific publications can be found on Google Scholar and my code contributions can be found on Github.