Bio

I am an Assistant Professor of Mathematics at Seattle University, where I teach in our MS Data Science program and do research in quantitative justice. I co-lead the Data Science, Police Accountability, and Community Engagement (DSPACE) Research Lab. Our aim is to democratize access to publicly available data on policing. I received my PhD in Mechanical Engineering from the University of Washington, where I worked on reduced-order modeling for fluids systems with Steve Brunton and J Nathan Kutz.

Latest

February
2026
Students at Seattle U, Carleton College and Hamline University participated in a document-labeling hybrid Datathon for Justice.
January
2026
Preprint: I am a co-author on a new preprint, Community-driven data science practices.
A technical appendix to our network analysis blog post is up on the DSPACE Lab site.
Student success! Jesse Loi is accepted into the Seattle U Technology Ethics Initiative Student-Scholar Program for his project titled Data Accessibility for Public Accountability.
December
2025
Student success! Check out David Stanko's Github repository, which employs Named Entity Recognition (NER) to extract key information from documents about police misconduct.
October
2025
A new blog post is up on the DSPACE Lab site, "Connecting the Dots: A Preliminary Network Analysis of Complaints about Police in Minneapolis."
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