Julius Belzen is a PhD student and molecular biotechnology specialist with nine years of research experience at the intersection of explainable machine learning and biomedical science, based between Berlin and Heidelberg. His work focuses on interpretable ML methods applied to molecular and multi-omics problems, and he has hands-on protein design experience from a Rosetta-based internship in Lausanne that contributed to engineered light-switchable anti-CRISPR projects. He also developed ML tools during a research stint at BGI’s China National Gene Bank, reflecting a practical fluency in both computational and wet-lab approaches. Beyond the bench and code, he explores the political, economic, and social implications of machine learning, bringing a broader contextual perspective to technical research. His international short stays in Shenzhen and Lausanne hint at adaptability and collaboration across diverse scientific cultures.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Molecular Biotechnology, Master of Science - MS, Molecular Biotechnology at Ruprecht-Karls-Universität Heidelberg
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Julius Belzen - PhD Student at Berlin Institute of Health