Dr. Carsten Gröber

Development of bioinformatical solutions for pattern recognition on large nucleic acid data sets from high throughput sequencing machines, analysis of customer data sets for pharmaceutical companies and academic research. Statistical and information entropy driven pattern recognition in enriched data sets. Identification of molecule binding sites by approximated 3D structure prediction. Classification of immune system repertoires using multi-layer neuronal networks.

Design of bioinformatical software for pattern recognition in large sequence data sets from next generation high throughput sequencing machines; application on large nucleic acid data sets of potential binders to T-cell-receptors generated by the human immune system. Statistical pattern recognition by cooccurence-analysis and usage of higher moments of the distrubtion of characters within patterns, efficient handling and storing of large sequence data sets, GUI-design with Qt, bioinformatics.

Staff Engineer Design Automation with experience in developement and support of tools for full and semi custom design with focus on dynamic IR-Drop analysis for full-chip DRAM/Flash-designs, SPICE-based extraction of parasitic elements, electromigration- and reliability analysis, manipulation of full-chip netlists. Detailed experience with DRAM- and Flash-technology, product developement and SPICE-simulation; experience with analog and digital system design and simulation.

Theoretische Physik, Halbleiterphysik, Mathematik, Statistik