Projects and research directions

Research

A clearer map of the research program, with each major area connected to publications, software, and project detail pages.

Overview

Connected research areas

Each project area links methods, biological questions, representative publications, and software or data resources.

Population Genetics

Population Genetics

Research on scalable whole-genome sequencing analysis, rare-variant association testing, functional annotation, and genetic discovery in diverse populations.

Explore project
FAVOR

FAVOR

FAVOR is a functional annotation resource and software ecosystem for interpreting human genetic variation across the genome.

Explore project
STAAR Methods

STAAR Methods

STAAR and its extensions use functional annotation to improve rare-variant association analysis for whole-genome sequencing studies.

Explore project
Epigenomics

Epigenomics

Integrative functional genomics of Epstein-Barr virus regulation, host chromatin, and cancer-relevant transcriptional programs.

Explore project
AI Genomics and Digital Pathology

AI Genomics and Digital Pathology

AI-driven approaches for pathogenic variant annotation, quality control in large-scale WGS, multi-omic integration, and digital pathology risk prediction.

Explore project
Protein-Protein Interactions

Protein-Protein Interactions

Computational prediction, assessment, and biological interpretation of protein-protein interaction networks.

Explore project
STAARpipeline research figure

From methods to software

Designed for real sequencing studies

The research program connects method development, statistical inference, functional genomics, scalable software, and public resources. That makes the portfolio legible as both a scientific agenda and an engineering record.