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