Founder, OUROBOROS Consulting · Statistical analyst · Federal IT · Personality psychopathologist

Practitioner at the intersection of statistics, clinical psychology, and institutional accountability. Building tools for the people systems leave behind.

• ★ DARVO Detector — manipulation-pattern analysis with tactic taxonomy and severity escalation; applied to live public exchanges
• ★ Deslop / Veritas — prose voice auditing and factual accuracy review, adapted for client and academic contexts
• ★ Malware Detect — static file and URL triage with named cybersecurity principles and verdict escalation logic
• ★ LaTeX/PDF Pipeline — full Markdown-to-PDF build system around ouroboros-report.sty; light-ground client variant included
• ★ Claude Skill Ecosystem — interconnected analysis, writing, and consulting tools in active professional use

Statistical focus: Bayesian methods, psychopathology (HiTOP, RDoC), personality structure, brain imaging, correlated data.

Dissertation-depth work in neuroimaging and mixed/hierarchical models. Practitioner perspective on algorithmic fairness and statistical forensics in clinical and Federal contexts.

• Personality psychopathology — hierarchical taxonomic models (HiTOP), dimensional disorder classification (RDoC), trans-diagnostic measurement
• Bayesian methods — hierarchical models, prior specification in clinical and forensic contexts, uncertainty quantification
• Brain imaging & correlated data — neuroimaging methods, spatial/temporal correlation structures, mixed-effects modeling
• Algorithmic fairness — bias in classification systems, fairness criteria under distributional shift, implications for institutionally vulnerable populations
• Statistical forensics — evidentiary standards, uncertainty quantification in legal and administrative contexts, expert-witness methodology

• Running OUROBOROS Consulting — tech strategy and data analysis for institutionally marginalized populations
• Skill ecosystem — statistical analysis, manipulation detection, voice auditing, and factual review in active professional use
• Federal IT — technology strategy for public-sector and mission-driven organizations
• Research — psychopathology frameworks (HiTOP, RDoC), Bayesian applications in clinical and forensic contexts

• MS; dissertation-depth in brain imaging and correlated data applications
• Research spans personality psychopathology, algorithmic fairness, and statistical forensics — as a practitioner, not an observer
• Consulting populations: survivors of institutional betrayal, seniors, veterans

Systems are not neutral. Statistical choices embed values. The question is not whether your model has assumptions — it does — but whether you have named them.