Joe Pickrell’s computational genomics lab develops novel statistical approaches to transform large-scale genomic data into improved understanding of human biology and evolution. Much of the Pickrell Lab’s work is focused on understanding natural human variation – the evolutionary and molecular mechanisms that lead to differences in phenotypes and disease risk between individuals.
Joe Pickrell, PhD, is currently on leave as a Core Faculty Member at the New York Genome Center to be CEO of Gencove, a NYGC spinout. He holds a joint appointment as Adjunct Assistant Professor in the Department of Biological Sciences at Columbia University. His lab is focused on developing computational and statistical tools to transform large-scale genomic data into a better understanding of human biology. Much of his research is dedicated to gaining a better understanding of natural human variations.
Dr. Pickrell’s research is partially supported by the National Institute of Mental Health. He and his team are working to build software tools to predict the molecular mechanisms by which genetic variants influence neurological diseases like schizophrenia and Parkinson’s disease. Additionally, this work is exploring the genetic connections between these diseases and other traits like autoimmunity and metabolism.
Before joining NYGC, Dr. Pickrell was a postdoctoral researcher at Harvard Medical School. He earned a PhD in Human Genetics from the University of Chicago and a BS in Biology from the University of North Carolina at Chapel Hill.
Detecting Polygenic Adaptation in Admixture Graphs.
Racimo F, Berg JJ, Pickrell JK.
Genetics. 2018 Jan. 18.
Identifying genetic variants that affect viability in large cohorts.
PLOS Biology. 2017 September 5.
Case-control association mapping by proxy using family history of disease.
Liu JZ, Erlich Y, Pickrell JK
Nat Genet. 2017 Jan 16.
- Detecting Polygenic Adaptation in Admixture Graphs.