Genedata AG
Susann Bader is a Scientific Software Engineer at Genedata since October 2019, with prior experience as a Postdoctoral Researcher at the Max Planck Institute for Biophysical Chemistry, where Susann developed statistical models for protein families and generated synthetic protein alignments, leading to publications in peer-reviewed journals and software available on GitHub. Susann earned a PhD in Computational Biology from Ludwig-Maximilians-Universität München, focusing on Bayesian statistical models for predicting protein contacts, and holds a Master's and Bachelor's Degree in Bioinformatics from the Technical University of Munich and Goethe University Frankfurt, respectively. Early career experience includes roles as a Research Assistant at HelmholtzZentrum München and a Student Trainee at BioSciTec GmbH, along with service as a Sports Soldier in the Bundeswehr, achieving recognition in international championships.
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Genedata AG
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Genedata transforms data into intelligence with innovative software solutions and value-added consulting services that automate complex, large-scale experimental processes and enable clients to maximize the ROI in their R&D.