Raik Otto

Post-Doc in Bioinformatics, Biostatistics, Machine-Learning, Data-Analysis

Data-analysis of oncological data, giving lectures, Personalized Medicine, Next-Generation Sequencing, Statistics/ Machine learning, Drug research

Position as Visiting AI Bioinformatics Researcher. Development, implementation and benchmark of a pilot-study image classification of breast cancer segentation data for developing countries based on Deep Learning. Teaching at three workshops in Berlin, Barcelona and India with respect to Data Sciences, Deep Learning and Biostatistics was a connected activity of the internship but not integral.

Development of NGS workflow analysis pipelines for HPC systems. Teaching all bioinformatic skills related to the MSc thesis to allow other employes to conduct similar analyses.

State of the art Next-Generation sequencing technology applied to elucidate cancer resistance causing mutations in cancer cell line pairs. See MSc thesis. Independent development of an algorithmic solution to support or decline current hypothesis on why cancer compound resistances occur.

SNP calling, CNV detection, member of a research group which works on sequencing data in order to understand the relationship between DNA-mutations and autism. Publications

The research placement aims at applying the state of the art technologies in the field of bioinformatics directly in the industry: Under the guidance of Professor Dr. Knut Reinert specifically tailored algorithms for quotation identification were developt, implemented and evaluated. The work took place independently, only based on the personal capacities. Main aims were adequat sensitivity as well as specificity of the algorithms, paying respect to the vast amount of data to be scanned.

Unter the auspices of Dr. Ralf Steuer a software was developed which enabled us to conduct research on Cyano bacteria. The sofware used a Python backbone in order to automatically creaty complex rate equations, written in Matlab. Aim of the software was to automatically and reliably create mathematical networks of bacteria in order to aquire knowledge about their metabolism. Keywords: moleculare networks, python, differential equations The software called MAC is to be found under the web link on this

For several month job experience was gained contributing to the microarray research at ATLAS Biolabs GmbH as Bioinformatitian. Special emphasis was placed on algorithmic solutions to alternative exon splicing as well as the down-regulation of exons. This required familiarisation with several statistical and computational tools and software, e.g. GeneSpring.

For several month job experience was gained contributing to the microarray research at ATLAS Biolabs GmbH as Bioinformatitian. Special emphasis was placed on algorithmic solutions to alternative exon splicing as well as the down-regulation of exons. This required familiarisation with several statistical and computational tools and software, e.g. GeneSpring. Main outcome were contributions to a analysis pipeline for exon splicing, based on R.

Next-Generation Sequencing, Algorithmics, Statistics, Systems-Biology, String matching, Cancer research

Algorithmics, statistics, programming

Distributed Systems which analyse environmental impact of industrial processes

computer science, english, electronics