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

May
2026
Poster: I am a co-author on a poster about work on comparitive networks of police complaints. DSPACE lab members will present it at The 2026 ASA Midwest Regional Conference in Statistics and Data Science.
Preprint: I am a co-author on a new preprint, The Geography of Nobel Prize Selection.
April
2026
Jesse Loi and I host a second Datathon for Justice, labelling around 400 more news articles for our DSPACE lab project evaluating LLMs for analyzing police data. You can learn more about this work as Jesse presents posters at the Seattle U Student Research and Creativity (May 29) and SciPy (July 16-19) Conferences!
March
2026
The DSPACE research lab recieves funding from the University of Minnesota's Institute for Advanced Study to further work with our community partner, Reinvestigation Workgroup. Our project is titled "Comparative Police Complaint Network Analysis", you can read more here.
I co-lead the Mathematical Models of Near-Shore Phenomena students on a trip to Chile over spring break 2026. SU affiliates can read more in the CSE newsletter.
February
2026
Students at Seattle U, Carleton College and Hamline University participated in a document-labeling hybrid Datathon for Justice. Thank you QSIDE for your support!
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.
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