The Institute is organized into Core Scientific Divisions:

Tackling the challenges of 21st century biomedical research

At the Institute we tackle major challenges in understanding the molecular underpinnings of diseases that often surpass the capacities of individual research laboratories. The heart and driving force of the scientific innovation of our Institute is within its independent yet complimentary interdisciplinary research groups. These laboratories are supervised by Core Institute members, each possessing expertise in one or more of our primary scientific domains.

Large-Scale Biology

We achieve rapid advances in large-scale biology or ‘big data’ science by conducting comprehensive multi-layered analyses of the genome, the epigenome, single proteins, lipids, cells, and organs.

Immunology, Inflammation and Infection

We apply immunological and other related approaches to understand the results of the Large-scale biology experiments.

Computational Systems Biology

In this division, we develop computational tools, algorithms, and machine learning processes that allow for the analysis and interpretation of the multidimensional complex datasets generated within the other divisions of the Institute.

Genomic Medicine

At the Victor Philip Dahdaleh Institute of Genomic Medicine, we aim to provide meaningful and applicable results that move from observations to clinical benefits. The Institute's close partnership with clinicians, trialists, and patients is therefore fundamental to our health translation efforts in the Genomic Medicine division.

Society, Law, Ethics and Policy

The social sciences, along with ethical, policy, and legal dimensions of genomic medicine, play a vital role in our health translation efforts. They bring the necessary expertise to execute a comprehensive approach to genomic medicine. This interdisciplinary approach encompasses critical aspects such as data governance, data sharing, and legal compliance strategies that addresses pressing health concerns. Furthermore, our research and translational efforts also delve into the policy implications of genomics.