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Peter Krawitz

Prof. Dr. med. Dipl. Phys. Institute for Genomic Statistics and Bioinformatics of the University Hospital Bonn and the Rheinische Friedrich-Wilhelms-Universität Bonn

Professor Krawitz is a distinguished expert in the field of medical genetics and bioinformatics. He received board certification in Medical Genetics in 2016 and completed a postdoctoral lecture qualification in Human Genetics the same year. From 2009 to 2016, he completed a residency at Charité, Berlin. Prior to this, he attended medical school at the Technical University Munich from 2001 to 2008 and studied Physics at Ludwig Maximilian’s University from 2001 to 2007.

Professor Krawitz’s scientific and professional career includes significant roles such as:

2020- Faculty of Immunosensation Cluster of Excellence
2018- Faculty of Bonn-Aachen International Center for Information Technology (B-IT)
2017- Director of the Institute for Genomic Statistics and Bioinformatics, University Bonn,
2016-2017: Group Leader Clinical Bioinformatics, Charité Medical School, Berlin
2015-2022: Chief Science Officer, FDNA
2013-2017: Principal Investigator, GPI-anchor deficiencies
2009-2013: Postdoctoral research fellow in the lab for Computational Biology of
Prof. Dr. Peter Robinson at Charité Medical School, Berlin
2011- Cofounder of GeneTalk
2006-2007: Research fellow in the laboratory for Computational Biology of
Prof. Dr. Ilya Shmulevich at Institute for Systemsbiology, Seattle
2003-2006: Research fellow in the laboratory for Neurodegenerative Disease of
Prof. Dr. Christian Haass at University Hospital Munich

In addition to research, Professor Krawitz has been actively involved in teaching:

Since 2017 Life Science Informatics, Bonn-Aachen, International Center for Information
Technology, B-IT
2016-2017 Medical Genomics for Students of Bioinformatics, Free University Berlin
2009-2015 Human Genetics for Medical Students at Charité, Berlin

His fields of interest include the analysis of whole genome data with a special focus on mutation prioritization and next-generation phenotyping, particularly the application of artificial intelligence in precision medicine.


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