Computational

Kaitlin Samocha is an Assistant Professor in the Center for Genomic Medicine at Massachusetts General Hospital and Harvard Medical School. She is on the steering committee for the Genome Aggregation Database (gnomAD), one of the world’s largest publicly...

Our group develops and applies efficient and accurate statistical methods and computational tools to understand the genetic/genomic basis of human disease risk and progression using large-scale biobanks. We also leverage high-dimensional omics data to...

Our lab develops and applies computational methods in an emerging space we call “translational epigenomics”. This space encompasses efforts to advance precision oncology by deeply characterizing cancer epigenomes. By examining epigenetic changes in...

We are a bioinformatics lab developing computation technology to model how cell identity is established during differentiation. We develop bioinformatics methods to understand genetic, epigenetic, and molecular signaling mechanisms in cell identity...

Dongwon Lee’s laboratory aims to understand how gene regulation contributes to the development and progression of human diseases, specifically focusing on kidney diseases. We use a combination of single-cell multiomics data, genetic data from disease...

The Rheinbay laboratory concentrates on identifying and functionally characterizing non-coding drivers in the sequences of tumor genomes through development of novel analysis strategies and collaborations with experimental investigators.

Most known...

Why is it easier to find out what experience shoppers worldwide have had with the latest digital camera than it is to determine what adverse events patients have had with a particular drug? Why are blood tests and X-rays repeated needlessly? Why can one...

The Flannick Lab develops computational approaches to use human genetics to understand or better treat human diseases, with a current focus on diabetes. We are based at Boston Children’s Hospital, Harvard Medical School, and the Broad Institute; perform...

The Lotter Lab performs interdisciplinary research with two core aims: 1) developing more robust computer vision algorithms using insights from human vision, and 2) optimizing these algorithms for medical imaging to deliver real-world impact. We aim to...

Genetic studies for a wide variety of traits and diseases have grown exponentially over the last decade, providing fine-scale biological insights into disease mechanisms. However, these genetic studies have been vastly Eurocentric in composition. We have...