We aim to understand how transcription factors (TFs) ensure adequate and timely gene expression in human development. To do this, we combine chemical genetic tools to quantitatively manipulate TF function, sequence-to-activity deep learning approaches...
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...
Dr. Dietlein is an Assistant Professor at Harvard Medical School, an Associate Member of the Broad Institute, Core Faculty in the Computational Health Informatics Program at Boston Children’s Hospital, and an Investigator at the Dana-Farber Cancer...
Arjun Manrai directs a research lab of machine learning scientists, clinicians, and biomedical data scientists working to improve medical decision making using computation. His group develops quantitative approaches to support physicians in making...
Our laboratory utilizes human genetic approaches to gain insight into blood cell production (hematopoiesis) and how this process is perturbed in disease states. We study rare genetic blood disorders and the genetics underlying variation in hematopoiesis...
Our lab's projects lie at the intersection of genetics, neurobiology, and bioinformatics, which we apply to understand (and treat) rare pediatric neurologic diseases.
Autism genetics and neurobiology: We apply whole exome and whole genome sequencing to...
There are clear resemblances between parents and children for height, weight, and many other traits and diseases; these familial resemblances are influenced strongly by inherited genetic factors. Most common diseases (such as diabetes, obesity, or asthma...
