me
Biography

I am a principal scientist at 23andMe, where I study the genetics of complex human diseases and traits using one of the world's largest genetic databases.

My work has lead to the discovery of genetic associations with a wide range of conditions, including Parkinson's disease, hypothyroidism, cilantro dislike, and dimples. I use tools from statistics, mathematics, and machine learning to understand complex trait biology and our ability to make predictions based on genetics.

I studied mathematics at MIT and UC Berkeley. After graduating, I was a NSF postdoc at Stanford University and a Visiting Assistant Professor in Statistics at the University of Chicago. I joined 23andMe in 2008.

I occasionally blog about statistics and risk prediction at the Turning of the Key.

Research Interests
  • Genetic architecture and risk prediction of complex traits
  • Integrating sequencing data into genome-wide association studies
  • Studying the evolution of cancer and HIV populations using next-generation sequencing
  • Machine learning and discrete mathematics in computational biology
Contact:

nick.eriksson@gmail.com

1390 Shorebird Way
Mountain View, CA 94043

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