Tech Projects
Computational projects across AI, data science, and web development
Artist Portfolio Website
Full-stack artist portfolio built with Gatsby/React showcasing documentary film, murals, and technical projects
NYC Housing Violations Dashboard
Interactive NYC housing violations dashboard to identify enforcement gaps and hold offenders accountable
DMR Detection with Hidden Markov Models
Markov Model pipeline for detecting differentially methylated regions in psychiatric epigenetics research
Epigenomics & Trauma NLP Research
Natural language processing and epigenomics research exploring intergenerational trauma mechanisms
Featured Projects
Artist Portfolio Website
A comprehensive digital portfolio that bridges art and technology, featuring dynamic video backgrounds, smooth animations, and responsive design. Built as a platform to showcase multidisciplinary creative work including documentary filmmaking, large-scale murals, poetry, and technical projects.
Key Features:
- Dynamic video backgrounds with glassmorphism UI
- Responsive design optimized for all devices
- Film portfolio with categorized showcase
- Integrated contact forms with Netlify
Technologies:
NYC Housing Violations Dashboard
A data-driven tool designed to promote housing justice by analyzing patterns in NYC housing code violations. The dashboard reveals enforcement gaps, tracks repeat offenders, and provides actionable insights for tenant advocacy and policy reform.
Key Features:
- Analysis of 100,000+ housing violation records
- Interactive visualizations of violation patterns
- Identification of repeat offender landlords
- Geographic mapping of enforcement gaps
Technologies:
DMR Detection with Hidden Markov Models
A computational biology research project that uses Hidden Markov Models to detect differentially methylated regions (DMRs) in genomic data. This work contributes to understanding epigenetic mechanisms in psychiatric disorders and trauma response.
Key Features:
- Non-homogeneous Hidden Markov Model implementation
- Statistical analysis of methylation patterns
- Integration with genomic data processing pipelines
Technologies:
Epigenomics & Trauma NLP Research
An interdisciplinary research project combining NLP and computational biology to analyze how traumatic experiences may influence gene expression across generations. This work bridges computer science, neuroscience, and social justice.
Key Features:
- NLP analysis of trauma narratives and research literature
- Epigenetic data processing and analysis
- Machine learning models for pattern recognition