Lukas Burger is a senior computational biologist with 12+ years of experience applying physics-rooted quantitative thinking to genomics and proteomics problems, currently leading ML-driven analysis in the Schübeler Lab at the Friedrich Miescher Institute. He transitioned from developing Bayesian methods for protein contact prediction during his PhD to integrating and modeling diverse genomics assays (ChIP-seq, ATAC-seq, NOME-seq, SLAM-seq, bisulfite-seq) using machine- and deep-learning approaches. Lukas combines hands-on analysis and tool development with supervision and training of PhD students and postdocs, enabling reproducible, large-scale studies. Based in Basel, he blends a strong theoretical background in computational physics with practical expertise in single-cell and bulk sequencing analysis, and a track record of translating methodological advances into collaborative biological insights.
12 years of coding experience
Internship, Quantum Optics, Internship, Quantum Optics at University of Vienna
Diploma in Physics, computational physics, Diploma in Physics, computational physics at Eidgenössische Technische Hochschule Zürich
PhD in Bioinformatics, Protein coevolution, protein contact and interaction prediction, PhD in Bioinformatics, Protein coevolution, protein contact and interaction prediction at Universität Basel
binned motif enrichment analysis and visualisation
Contributions:38 commits, 18 pushes in 3 years 9 months
enrichmentmotifenrichment-analysisvisualisation
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