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
| January 2026 |
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." |
| August 2025 |
I attend a workshop, Reproducible Machine Learning Workflows for Scientists, in Madison, WI. |
| July 2025 |
I serve on the Program Committee for SciPy 2025 in Tacoma, WA. |
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