Out-of-County Violator Processing Analytics
Six-year operational intelligence study on inter-county violator flows, data quality, and cooperation across Washington counties.
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.
Python ML pipelines for speech-related neural responses in school-aged children; neural networks, PCA, and dense-array time-series modeling.
Python pipelines from 306-channel MEG time series to predictive models of language and reading outcomes across pediatric cohorts.
ML and feature engineering linking infant neurophysiology to later language measures.
12-year pediatric program infrastructure: scalable Python and MATLAB pipelines, signal space separation, artifact rejection, multi-table integration.
Regulatory-style validation of a speech-discrimination biomarker for language impairment in autism using blinded ROC and mixed models.
Four-condition auditory oddball design across two cohorts (N = 96+) to resolve contradictory literature via larger samples (5-8x prior work).
Dissertation research on phonological processing using MEG; speech feature encoding (P50m/N100m); thesis advising.
Peripheral visual space representation in congenital deafness; cortical magnification paradigms; diffusion tensor imaging of geniculocortical pathway.
Histology-driven volumetric morphometry of neocortex, white matter, and substantia nigra across development.