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Miguel Andrade

Turning data into predictions of gene and protein function
 
Miguel Andrade
 
Group Leader of the Computational Biology and Data Mining group, Max Delbrück Center for Molecular Medicine, Berlin, Germany Affiliate investigator at the Ottawa Hospital Research Institute, Canada

Abstract

We are developing methods to use data on gene expression, protein-DNA interactions, protein-protein interactions, protein sequence features and bibliographic data, to produce predictions of the functions of genes and proteins. We have a focus on human disease; I will introduce applications to the search for factors influencing induction of human pluripotent stem cells, and to research on proteins related to neurodegeneration.

BIOGRAPHICAL SKETCH

Miguel Andrade received his Ph.D. in Biochemistry at the Universidad Complutense de Madrid in 1994. He trained at the post-doctoral level at the European Molecular Biology Laboratory in Heidelberg and Cambridge with Chris Sander and Peer Bork. His post‐doctoral studies involved the development and application of computational methods for the analysis of gene and protein function and structure. From 2003 to 2007, he was Assistant Professor in the Department of Medicine of the University of Ottawa and Scientist and Head of the Bioinformatics Group of the Ottawa Health Research Instuitute in Ottawa, Canada, where he was promoted to Senior Scientist in 2006. In September 2007 Miguel moved to the Max Delbrück Center for Molecular Medicine in Berlin to start the Computational Biology and Data Mining group. His group (http://cbdm.mdc-­berlin.de/) focuses on the development and application of computational methods that are used to research the molecular and gene components of human disease.