MSPLICER - Key Persons
Data scientist Gunnar Rätsch develops and applies advanced data analysis and modeling techniques to data from genomics, high-throughput sequencing, clinical records and images.
He earned his Ph.D. at the German National Laboratory for Information Technology under supervision of Klaus-Robert Müller. His thesis is on iterative algorithms related to Boosting and Support Vector Machines. He was a postdoc with Bob Williamson and Bernhard Schölkopf. Gunnar Rätsch received the Max Planck Young and Independent Investigator award and was leading the group on Machine Learning in Genome Biology at the Friedrich Miescher Laboratory in Tübingen (2005-2011). In 2012 he joined Memorial Sloan-Kettering Cancer Center as Associate Faculty.
The Rätsch laboratory advances computational methods for the analysis of big data common in the biomedical sciences. The group utilizes, develops and integrates ideas from machine learning, operations research, sequence analysis, statistical genetics, text mining and computer vision with the aim to discover relationships in complex biomedical data.
Linda Sundermann earned both her her B.S. and M.Sc. at Bielfeld University, Bioinformatics and Genome Research.
Shortly after, she became a Research Assistant at Genome Informatics, under Dr. Jens Stoye at Bielefeld University. In 2013 she became an Associated Member of the International Research Training Group "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes", GRK 1906. Currently, with the help of German Academic Exchange Service (DAAD), Linda joined Rätsch Lab at Memorial Sloan Kettering Cancer Center.