Paul Borchert is a research-focused data scientist and biosystems technologist based in Berlin with 13 years of experience bridging computational methods and experimental biology. He holds BSc and MSc degrees in Biosystems Technology / Bioinformatics from Technische Hochschule Wildau and applies that interdisciplinary training to bioinformatics and AI-driven workflows. After contributing to BIOMES as a Data Scientist, he now works as a Research Assistant at Charité Berlin’s Institute of Experimental Endocrinology, where he translates modeling and data analysis into biological insights. Paul is passionate about combining cutting-edge computational tools with wet-lab questions, often connecting machine learning pipelines to real experimental datasets. Colleagues describe him as someone who moves fluidly between code and the bench, spotting practical opportunities where AI can accelerate discovery. Fluent in the research culture of German institutions, he brings both methodological rigor and a pragmatic, systems-level perspective to projects.
13 years of coding experience
1 year of employment as a software developer
M. Sc. Biosystems Technology / Bioinformatics, M. Sc. Biosystems Technology / Bioinformatics at Technische Hochschule Wildau
Contributions:13 PRs, 52 pushes, 16 branches in 5 years
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Paul Borchert - Research Assistant at chariteberlin