Orion Buske
Co-Founder at PhenoTips
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolOrion Buske is a co-founder and technical leader with 14 years at the intersection of computer science, genomics, and healthcare, currently building the world's first Genomic Health Record from Toronto. He combines deep academic training (PhD in Computational Biology) with hands-on engineering—contributing back-end improvements to genome graph tooling like vg that optimized memory and visualization. Orion has driven collaborative standards and platforms through leadership roles at the Global Alliance for Genomics and Health and Matchmaker Exchange, and has shepherded clinical data capture and pedigree standards. Equally comfortable writing production services, teaching undergraduate programming, and running product-facing engineering teams, he brings a pragmatic blend of research rigor and startup execution. A detail-oriented systems thinker, he often surfaces subtle performance and usability gains in complex genomics software that materially improve reliability for clinical use.
14 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc), Bioengineering and Biomedical Engineering, Bachelor of Science (BSc), Bioengineering and Biomedical Engineering at University of WashingtonDoctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at University of Toronto
Stackoverflow
1reputation
0reached
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Github Skills (14)
memory-management10
graph-algorithms10
c-language10
cprogramming-language10
optimization9
optimisation9
numerical-optimization9
algorithm9
code-optimization9
algorithms9
excel-dna8
graph8
graphing8
genomics7
Programming languages (11)
Github contributions (5)
vgteam/vg
Feb 2016 - Jun 2016
tools for working with genome variation graphs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits, 13 PRs, 6 pushes in 3 months
Contributions summary:Orion primarily focused on improving the `vg` tool's functionality by optimizing memory management and code structure. Their contributions include immediately freeing node and edge memory, passing node sequences by constant reference, and fixing compiler warnings, which improved code efficiency and reliability. Additionally, the user improved the visualization component of the tool by addressing dot layout issues and removing constraints on path edges.
genomegenome-graphdnagenomicsbioinformatics
buske/silva
Apr 2012 - Mar 2017
Contributions:123 commits, 5 pushes, 8 comments in 4 years 11 months
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