Research

Human islet biology, diabetes, and interpretable multi-omics.

I work at the intersection of bioinformatics, multi-omics analysis, gene regulation, single-cell analysis, and disease biology. My goal is to make high-dimensional biological data explain cellular behavior rather than only describe it.

Human islet biology

Studying pancreatic islet cell states, stress responses, and diabetes-associated heterogeneity through computational genomics.

Diabetes

Connecting molecular and cellular signals to disease-relevant mechanisms in metabolic biology.

Bioinformatics

Using reproducible computational workflows to turn complex biological datasets into interpretable evidence.

Multi-omics

Integrating complementary data modalities to study cell states, regulation, and disease-associated variation.

Gene regulation / single-cell analysis

Analyzing regulatory programs and single-cell heterogeneity to understand how cellular identity and disease states emerge.

Methods

Data-rich biology, readable outputs.

My work combines computational genomics, single-cell analysis, reproducible workflow design, and prior wet-lab training to translate complex datasets into testable biological insight.

Publications

Latest publications

2026

Proinsulin regulators identified with CRISPR screen and in vivo mouse QTL mapping

Nature Communications

H3K79 methylation and H3K36 trimethylation synergistically regulate gene expression in pluripotent stem cells

Science Advances

Nmnat2 deficiency in the arcuate nucleus or paraventricular nucleus induces Sarm1-independent neuron loss and liraglutide-reversible obesity

The FASEB Journal

All publications →