Felicitas Kindel

The IBG-4 (Bioinformatics) division of the Institute of Bio- and Geosciences develops and applies methods and algorithms to achieve a fundamental understanding of high-dimensional data and processes in the bioeconomy/life sciences and to understand, predict and optimize the biological functions of molecules, genes and enzymes for breeding and for industrial and pharmaceutical applications, also on the basis of their structures. IBG-4 has a focus on omics/data-based bioinformatics on plant data storage, the evaluation of new genome analysis methods, and the integration, interpretation, and visualization of high-dimensional omics data from the field of bioeconomy and plant science. More information here

I’m a biologist with major interest in Machine Learning (AI) and genomics. I’m in charge of further developing the neural network Helixer (https://github.com/weberlab-hhu/Helixer), a tool for ab inito annotation of primary gene models in vertebrate, plant, fungal and invertebrate genomes. The prediction of these elements can then be used to accelerate the research progress in bioengineering.