Summary
Joseph Guhlin is a plant genomicist and bioinformatician with 13 years of multidisciplinary experience spanning genomics, statistical genetics, machine learning and graph databases. Currently a postdoc at the University of Otago and a PhD candidate at the University of Minnesota, he focuses on structural variation and pangenomics, translating complex comparative-genomics questions into scalable analyses. He combines deep computational skills—database design, UNIX administration and programming—with wet-lab insight from earlier microbiology and biotechnology roles, enabling productive cross-talk between data and experiment. Comfortable with association analyses, data mining and novel graph-based representations, he builds reproducible pipelines to uncover biologically meaningful variation in plant genomes. Based in Dunedin, New Zealand, he balances rigorous academic research with practical engineering experience accrued from industry and independent contracting. An underrated strength is his ability to bridge legacy database systems and modern genomics workflows to accelerate discovery.
13 years of coding experience
5 years of employment as a software developer
University of Minnesota Twin Cities