Research

My work is in computational epidemiology, aging, and single-cell genomics. I mainly use large clinical and molecular datasets to study disease risk, frailty, and immune cell states.

Research Areas
Computational Epidemiology
Family-based study designs, phenome-wide analyses, and longitudinal work in large claims and EHR datasets.
Digital Phenotyping
Wearable sensing and clinical modeling for frailty, function, and aging-related risk.
Single-Cell Genomics
Cross-disease immune atlases and integration of public single-cell RNA-seq datasets.
Selected Projects

Birth order and disease risk across the human phenome

University of Chicago · computational epidemiology

I study how birth order relates to disease risk across the phenome using large US claims data. The analysis combines matched between-family comparisons with within-family sibling models to separate real signal from family structure and ascertainment.

Preprint

Wearable accelerometry and frailty in older adults

University of Chicago · aging, passive sensing, and clinical prediction

This project tests whether accelerometry improves frailty classification in FACE, NSHAP, and NHATS. The question is simple: when wearables add useful information, and when ordinary clinical variables already do most of the work.

Preprint

Human skin immune cell atlas

MIT Biological Engineering · single-cell immunology

I am helping build an integrated skin immune atlas across public single-cell datasets. The focus is on disease-aware integration, annotation, and validation strong enough to support manuscript claims.

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