Christoph Lippert

Researcher, eScience

 

My research is focused on machine learning and statistics in genomics and genetics. I am especially interested in method development and applications of Gaussian processes and linear mixed models.

In this space I have mostly been working on methods for genome-wide association studies (GWAS).

We are always looking for PhD students with a strong background in machine learning, statistics, or bioinformatics who are interested in internship projects in our office in Los Angeles. If you are interested, write me an e-mail.

     

 

 

Software: FaST-LMM

efficient method for population structure correction in GWAS

Publications

    2014

    2013

    2012

    2011

    2010

    2009

    2008

    Past organized events: