This person is a member of Sanger Institute Alumni.
Andreas Leha is a computational geneticist. His research interests center around the statistical analysis of high-dimensional data from molecular biology. In his current role as part of HipSci, the human induced pluripotent stem cells initiative which aims to provide a resource of hundreds of iPSC lines, he is interested in genetic causes for phenotypic variation in iPSCs.
The focus of my current work is the characterisation of induced pluripotent stem cells (iPSCs). As iPSCs show great potential for many applications from model systems to regenerative medicine, good understanding of their behaviour is vital for their therapeutic use. The human induced stem cells initiative (HipSci) — regarded as “one of the most important resource projects this decade in my (Ewan Birney’s) view” — aims to contribute to that effort by generating a resource of hundreds of iPSC lines.
Coming from a background in mathematics and computer science I was early on most excited by stochastics/statistics and machine learning. After a first application in robotics and manufacturing (on a project with an intelligent factory) I ventured into the fields of biometry and computational biology/bioinformatics during my PhD where I collaborated on numerous biological and medical studies and developed a novel approach to ordinal classification.
Joined the Sanger Institute
Member of the Bioinformatics Core Facility of the University Medical Center Göttingen, Germay
PhD Student at the Institute for Medical Statistics Göttingen, Germany (Superviser: Tim Beißbarth)
Diploma in Computer Science from the Technical University Munich, Germany
Pre-Diploma Mathematics from the University Bayreuth, Germany