Michael Schroeder is a data analytics and engineering expert with 17 years of experience blending scientific rigor and business impact across management consulting, R&D, and large enterprises. He holds a PhD in Bioinformatics and spent his early career building production-ready cancer genomics pipelines and databases, publishing methods and visualization libraries for multidimensional genomics data. In recent years he has translated that domain expertise into enterprise analytics and machine learning roles, delivering ETL, cloud-ready analytics, and ML solutions for clients including SBB and major consulting firms. Equally at home leading multidisciplinary research teams as in academia and embedding as a hands-on consultant, he combines statistical depth with pragmatic product thinking. Notably, he has a track record of hackathon wins and teaching analytics to audiences from C-level to newcomers, underscoring his skill in turning complex analysis into actionable insight. Based in Bern, he focuses on unlocking data value across transport and energy domains while keeping one foot in cutting-edge bioinformatics.
Copy number variant detection from targeted DNA sequencing
Contributions:2 PRs, 15 pushes, 5 branches in 2 years 2 months
dna-sequencingdnasequencinggenomicsbioinformatics
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Michael Schroeder - SBB Data Analytics & Engineering Expert