Computational Biology for Infection Research
The Department of “Computational Biology for Infection Research” studies the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients by analysis of large-scale biological and epidemiological data sets with computational techniques. Focusing on high throughput meta’omics, population genomic and single cell sequencing data, we produce testable hypotheses, such as sets of key sites or relevant genes associated with the presence of a disease, of antibiotic resistance or pathogenic evasion of immune defense. We interact with experimental collaborators to verify our findings and to promote their translation into medical treatment or diagnosis procedures. To achieve its research goals, the department also develops novel algorithms and software.
Prof Dr Alice McHardy
Alice Carolyn McHardy holds a diploma in biochemistry and a doctoral degree (Dr. rer. nat) in bioinformatics, both from Bielefeld University in Germany. From 2005 to 2007 she first was a postdoc and then a permanent staff member in the Bioinformatics and Pattern Discovery Group at the IBM T.J. Watson Research Center in Yorktown Heights, USA.
She then became the head of the independent research group for Computational Genomics and Epidemiology at the Max Planck Institute of Computer Science in Saarbrücken. In 2010, she was appointed Chair of Algorithmic Bioinformatics at Heinrich Heine University in Düsseldorf.
In 2014, she became head of the Department of Computational Biology for Infection Research at the Helmholtz Centre for Infection Research in Braunschweig and was appointed as a full professor at TU Braunschweig.
Lecture: Introduction to bioinformatics data types and analysis techniques