Postdoctoral Associate, Department of Public Health Sciences
I develop computational and statistical methods for biomarker discovery across neurodegenerative disease and cancer. My work integrates genomic, transcriptomic, and epigenetic data to improve prediction quality and biological interpretability.
Method-driven and disease-focused projects, spanning model design to translational validation.
A random forest framework for integrated prediction and biomarker discovery across multiple omics modalities.
Discovery and validation of blood-based DNA methylation signatures predictive of incident dementia in longitudinal cohorts.
Transcriptome-based models for chemotherapy response using matched colorectal tumor-organoid expression profiles.
Selected works sorted by publication year (newest to oldest).
Selected oral and poster presentations (newest to oldest).
Technical notes on tools and side projects I've built alongside my research.
An automated tool for fetching, scoring, and summarizing daily academic literature across Nature, Science, bioRxiv, and arXiv.
A personal knowledge app to capture atomic notes, link them into a network, and use AI to help them grow. Available on web and iOS.
Miami, FL · Open to research collaborations in computational biology and statistical methodology.