Out-of-County Violator Processing Analytics
Six-year operational intelligence study on inter-county violator flows, data quality, and cooperation across Washington counties.
Ph.D. applied scientist and engineering manager building production machine learning, statistical evaluation, and data platforms in complex, regulated environments. I lead Business Intelligence & Operations Surveillance at the Washington State Department of Corrections (Research & Data Analytics); previously, 12 years as Research Science Engineer at the University of Washington (I-LABS) on MEG predictive modeling and the MNE-BIDS ecosystem, plus postdoctoral work at Children’s Hospital of Philadelphia on language-impairment classification and validation.
Six-year operational intelligence study on inter-county violator flows, data quality, and cooperation across Washington counties.
Multi-year analysis linking statewide claims-style data to DOC release cohorts under strict access controls.
End-to-end NLP system replacing manual labeling of correctional incident free text with automated multi-label prediction across facilities.
Combined temporal projection noise suppression approaches to improve MEG signal quality for downstream modeling.
Python tooling to organize electrophysiological data in BIDS format and streamline analysis – reducing setup friction for labs worldwide.