Summary
Alexander Koc is a bioinformatician with a decade of experience applying machine learning and sensor tech to real-world biology problems, currently improving clinical genomics infrastructure at Lund University Hospital's Center for Molecular Diagnostics. His PhD work developed high-throughput, camera- and spectroradiometer-based methods to detect fungal diseases in winter wheat, accelerating breeding by reducing field-evaluation time and cost. He codes primarily in Python (Flask), migrates legacy systems to Docker, and builds QC displays for sequencing pipelines, blending research-grade analytics with production-focused engineering. Based in Malmö, he pairs hands-on lab training in molecular biology and bioinformatics with practical project administration—evident from roles ranging from research network coordination to managing a housing cooperative’s finances. Quietly, he brings an unusual combination of crop-disease remote sensing expertise and clinical genomics tooling, making him effective at translating academic methods into deployable diagnostics.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Molecular Biology, Bachelor's degree, Molecular Biology at Lund University
Swedish, English, Polish