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The Geschwind Lab
The Geschwind laboratory is working to improve our understanding of human neuropsychiatric diseases, such as autism and neurodegenerative diseases, and their relationship to the range of normal human higher cognitive function. We use a combination of genetic, functional genomic and neurobiological methods in our work--frequently in collaboration with other laboratories or disciplines. Our methodological focus involves the application of network analyses and systems biology, which offer the promise of integration of multiple levels of data, connecting molecular pathways to nervous system function in health and disease.
Dr. Daniel H. Geschwind, M.D., Ph.D. Principal InvestigatorDr. Daniel Geschwind is the Gordon and Virginia MacDonald Distinguished Chair in Human Genetics and is a professor of neurology and psychiatry at the UCLA School of Medicine. He is director of the Neurogenetics Program and the Center for Autism Research and Treatment (CART) and co-director of the Center for Neurobehavioral Genetics at UCLA. Dr. Geschwind obtained an A.B. in psychology and chemistry at Dartmouth College and his M.D./Ph.D. at Yale School of Medicine prior to completing his internship, residency, and postdoctoral fellowship at UCLA. He joined the UCLA faculty in 1997.
In addition to his research, Dr. Geschwind is active on the scientific advisory boards of The Faculty of 1000 Medicine, the Society for Neuroscience Program Committee, Autism Speaks, and the NIMH Scientific Advisory Council. He received the Derek Denny-Brown Neurological Scholar Award from the American Neurological Association in 2004 and the Scientific Service Award from Autism Speaks in 2008.
 

Latest Publication

Neuroscience in the era of functional genomics and systems biology.

Nature

Geschwind DH, Konopka G.

Program in Neurogenetics and Neurobehavioural Genetics, Department of Neurology and Semel Institute, David Geffen School of Medicine, Los Angeles, California 90095, USA. dhg@ucla.edu

Advances in genetics and genomics have fuelled a revolution in discovery-based, or hypothesis-generating, research that provides a powerful complement to the more directly hypothesis-driven molecular, cellular and systems neuroscience. Genetic and functional genomic studies have already yielded important insights into neuronal diversity and function, as well as disease. One of the most exciting and challenging frontiers in neuroscience involves harnessing the power of large-scale genetic, genomic and phenotypic data sets, and the development of tools for data integration and mining. Methods for network analysis and systems biology offer the promise of integrating these multiple levels of data, connecting molecular pathways to nervous system function.