Søren Heidelbach is a PhD student at Aalborg University's Albertsen Lab with five years of experience at the intersection of biotechnology and computational methods. He develops unsupervised deep learning approaches for metagenomic binning, uniquely leveraging raw Nanopore signal from modified DNA to improve genome reconstruction. Grounded in a strong academic background in biotechnology (BSc and MSc from AAU), he blends wet-lab understanding with hands-on machine learning to tackle noisy long-read data. Based in Aalborg, Denmark, Søren focuses on translating signal-level insights into practical bioinformatics tools, aiming to make modified-base-aware binning robust for real-world microbial communities.
5 years of coding experience
Master's degree, Biotechnology, 11.8, Master's degree, Biotechnology, 11.8 at Aalborg Universitet
Contributions:11 pushes, 1 branch in 2 years 8 months
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