Research work across EEG modeling, public-health evidence review, genomics ML, and labor-market econometrics.
Brain-Computer Interfaces
Research project with Harvard Medical School mentors on EEG-to-image generation. I focused on making the DreamDiffusion pipeline reproducible, debugging environment issues, and comparing model behavior across classical ML and diffusion-style approaches.
Epidemiology Research
Literature review under a Wayne State professor on how historic HOLC grading links to present-day chronic disease patterns. The work centered on study design quality, evidence strength, and what claims the data could actually support.
Muscular Dystrophy & Machine Learning
Independent project on GEO gene-expression data to test which supervised models best separate dystrophy from control samples. I built a clean preprocessing and evaluation pipeline and reported model limits directly.
Econometrics Research
Econometrics project on 130,000+ tech salary records to test how remote-work status and company size relate to wages. Focus was model specification, ANOVA assumptions, and interpretation discipline.
