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 is a Junior Investigator and Core Member at the New York Genome Center, and an Adjunct Assistant Professor in the Department of Biological Sciences at Columbia University. He runs a lab dedicated to developing computational and statistical tools to transform large-scale genomic data into a better understanding of human biology.
Before joining the New York Genome Center in 2014, Joe was a postdoctoral researcher at Harvard Medical School. He holds a PhD in Human Genetics from the University of Chicago and a BS in Biology from the University of North Carolina at Chapel Hill.
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.
- Identifying genetic variants that affect viability in large cohorts.