Identifying the hidden genetic basis of disease

We focus on structural variants and other complex genomic rearrangements that are often omitted from large-scale human genetic studies because they are challenging to detect, interpret, and associate with disease. Our work addresses these limitations by developing novel approaches to enable more comprehensive and inclusive genetic analyses.

We develop innovative computational and statistical methods to advance the interpretation of structural variants using large-scale genomic datasets. By integrating variant data with clinical and molecular information, we build models to predict their functional consequences and improve variant classification and interpretation.

We believe great science is built on rigor, integrity, and teamwork, and we are committed to conducting reproducible and transparent research. We aim to foster a collaborative training environment that equally prioritizes advancing fundamental biological understanding and translating those discoveries into meaningful clinical impact.