Computational

Immune-mediated diseases such as lupus or rheumatoid arthritis are not caused by an isolated insult resulting in a single dysfunctional gene or pathway, but rather a systemic dysregulation of multiple genes and pathways. Our group uses methods in...

I am an associate professor in the Program in Genetic Epidemiology and Statistical Genetics in the Department of Epidemiology at HSPH, with a secondary appointment in the Department of Biostatistics. I am an associate member of the Program in Medical and...

I am a computational biologist studying the role of chromatin structure/dynamics and non-coding regions including enhancers, promoters, insulators and their role in gene regulation. The mission of my lab is the integration of omics data to explore and...

Chirag Patel is an Associate Professor of Biomedical Informatics at Harvard Medical School. Chirag Patel’s long-term research goal is to address problems in human health and disease by developing computational and bioinformatics methods to reproducibly...

Mutational processes in cancer and normal cells; development of computational methods for genome and epigenome analysis.

We employ computational and statistical approaches to study various types of somatic mutations that arise in cancer cells and neurons...

Martin Nowak is fascinated by all questions of mathematical biology and regrets that he can work only on some. He initiated the field of virus dynamics which is the mathematical study of virus infections. He contributed to the long-standing problem of...

Benjamin Neale is an assistant professor in the Analytic and Translational Genetics Unit at Massachusetts General Hospital (MGH), assistant professor in medicine at Harvard Medical School (HMS), and an associated researcher at the Broad Institute. Neale...

The Mirny lab has been working on genomic analysis and biophysical modeling of various molecular systems. Our efforts are focused on characterization of higher-order chromatin structure and are aimed to reveal basic physical and biological principles that...

One million human genomes, will it make a difference? The large and growing volume of genome information, from all forms of life, presents unprecedented opportunities for computational biologists. The challenge for our scientific generation is to turn an...

The Mahmood Lab at the Brigham and Women's Hospital aims to utilize machine learning, data fusion and medical image analysis to develop streamlined workflows for cancer diagnosis, prognosis and biomarker discovery. We are interested in developing...