Hi, I'm Marshall!
Latest Writing:
With my Math PhD recently finished, I am looking for professional opportunities to help organizations with quantitative problems. I particularly enjoy working on problems that help to reduce waste in systems. This can be done, for example, by finding patterns in data that can be exploited, or a better framing of the problem into a mathematical objective that can be optimized by state-of-the-art algorithms. This style of work has been historically categorized under “operations research”, and nowadays under “data science”, “quantitative analyst/researcher”, and even “machine learning engineer/researcher” among many others. If your organization is hiring for these areas, please reach out to marshallm (at) protonmail (dot) ch.
At Tufts University I was advised by James M. Murphy and Abiy Tasissa. My dissertation is entitled Local Sparse Representations: Connections With the Delaunay Triangulation and Dictionary Learning in Wasserstein Space.
I like to read, write, take photos, watch movies, and practice Kyudo.
In the past I attended the University of Wisconsin-Madison with a double major in math and computer sciences (yes sciences). I was fortunate to have advising from Sigurd Angenent and Dave Anderson.
Contact: marshallm (at) protonmail (dot) ch
Website design inspired by the delightfully simple aesthetic of Shoji.