Michael Wolfinger is a computational biologist with 23 years of experience focused on bridging RNA structure prediction and therapeutic design for biotech, pharma, and academic partners. Based in Vienna, he combines a deep academic foundation (Dr. rer.nat. in Chemistry/Bioinformatics) with hands-on engineering—contributing to the Bioconda ecosystem by packaging Perl modules and improving reproducible bioinformatics deployments. He architects tailored computational solutions that translate structural RNA insights into practical synthetic biology and RNA-medicine projects. Known for pairing rigorous wet-lab-informed theory with pragmatic software practices, he helps teams move from algorithmic ideas to deployable pipelines. An understated strength is his long-term commitment to open-source tooling that lowers the barrier for others to run advanced bioinformatics workflows.
24 years of coding experience
Mag. rer.nat., Chemistry, Mag. rer.nat., Chemistry at University of Vienna
Contributions:49 commits, 93 PRs, 50 pushes in 1 year 8 months
Contributions summary:Michael primarily contributes to the Bioconda-recipes repository by adding and updating recipes for various Perl modules. Their work focuses on packaging these modules for Conda, evidenced by the `build.sh` files and `meta.yaml` updates. The contributions include adding new recipes, updating existing ones, and ensuring compatibility with the Conda build process, demonstrating proficiency in package management. This user's contributions centered around extending the available packages within the bioinformatics ecosystem.
Nextstrain community build 'Molecular epidemiology of Venezuelan equine encephalitis complex viruses'
Contributions:4 releases, 1 PR, 15 pushes in 2 years 11 months
virusequinemolecularnextstrainepidemiology
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