Ralda Nehme and her group are interested in investigating the genetic, cellular, and molecular mechanisms underlying neurodevelopmental and psychiatric diseases. They are using stem cell-derived neurons and genome editing technologies to build human cellular models for these disorders. In line with these goals, in collaboration with the Eggan and McCarroll labs, the group established the Stanley Center Stem Cell Biobank at the Broad Institute, a resource of human pluripotent stem cells and genetic data from hundreds of donors, aimed at expanding the scalability of experimental systems.
Barrett and her lab use a combination of human pluripotent stem cell biology, genome-engineering technologies, and in vitro differentiation to study the impact of genes and variants implicated in neurodevelopmental and neuropsychiatric diseases on neuronal function.
McCarroll and his lab work to study how human genomes vary and how genetic variation shapes human biology.
Steven E. Hyman is director of the Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, a core member of the Broad, and Harvard University Distinguished Service Professor of Stem Cell and Regenerative Biology.
Sulagna (Dia) Ghosh is a Computational Biologist at the Stanley Center for Psychiatric Research. Dia currently focuses on analyzing genomic and transcriptomic data from cellular models to learn about risk variation in neurodevelopmental and psychiatric disorders.
The aim of the Wainger Laboratory is to ask clinically relevant research questions that could lead to rapid translation and innovation for treating diseases of the motor and sensory nervous systems.
The Woolf lab is devoted to investigating the way in which the functional, chemical and structural plasticity of neurons contributes both to the normal function and diseases of the nervous system.
The Cohen lab invents new physical tools to probe biological structures. They choose problems by looking in unexplored regions of time and space. They combine protein engineering, lasers, nanofabrication, microfluidics, electronics, biochemistry, and computers to generate data; and apply statistics and physical modeling to understand the data.
The Lage lab develops and applies computational technologies to functionally interpret massive genomic datasets using biological networks. Through their approaches they aim to understand and model how biological networks are perturbed by genetics and can be targeted by therapeutics in complex diseases such as psychiatric disorders, cancers, and metabolic diseases.