Stefan Milosavljevic is a Biomedical Data Engineer with nine years' experience marrying biology and computation to build FAIR, reproducible data systems for hospitals, -omics centers and research initiatives. Trained at the University of Lausanne and ETH Zurich and honed during a PhD and postdoc at the University of Zurich, he specializes in large-scale sequencing analysis, automated workflows, benchmarking and data visualization in epigenetics and evolutionary genomics. At the Swiss Data Science Center he focuses on secure, efficient biomedical pipelines and open research practices that prioritize reproducibility and FAIR principles. Comfortable teaching statistics and bioinformatics to diverse audiences, he also applies machine learning to clinical problems and mentors students on statistical rigor. Outside work he channels analytical curiosity into long-distance running and cooperative gaming, reflecting a collaborative, endurance-oriented approach to complex projects.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BSc, Biology, General, Bachelor of Science - BSc, Biology, General at University of Lausanne
Master of Science - MSc, Bioinformatics, Master of Science - MSc, Bioinformatics at ETH Zürich
High School Diploma, Biology and Chemistry, High School Diploma, Biology and Chemistry at Liceo cantonale Lugano 1
Middle School Diploma, Middle School Diploma at Scuole medie Lugano 2
Contributions:9 releases, 4 reviews, 9 PRs in 1 year 1 month
clidata-validationrdf
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