PhD Student Division Of ML In Single-cell Genomics, Prof. Theis, Helmholtz AI at Helmholtz Munich
Munich, Bavaria, Germany
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Summary
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Senior
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Top School
Tim Treis is a PhD researcher in computational biology at Helmholtz Munich with eight years of applied experience building reproducible ML and bioinformatics tools for single-cell and spatial multi-omics. As a core developer for scverse projects like SpatialData and Squidpy, he blends software engineering rigor with domain expertise to shape community data standards and analysis pipelines. His background spans industry and academic stints—from Roche and Novartis to EMBL and the Broad—where he delivered novel probabilistic factor modeling work later published from his DKFZ master’s project. Tim is fluent in Python and R, has experience deploying modular probabilistic frameworks (Pyro), and teaches best practices through package development and internal workshops. Based in Munich, he combines hands-on engineering with research curiosity, often translating complex experimental assays into robust, shareable software. An early interest in automation and imaging instrumentation also surfaces in his work on automated microscopes and high-throughput analysis pipelines.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.) Molecular biology (B.Sc.), Bachelor of Science (B.Sc.) Molecular biology (B.Sc.) at Bielefeld University
Master of Science - MS Molecular Biotechnology (bioinformatics track), Master of Science - MS Molecular Biotechnology (bioinformatics track) at Heidelberg University
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