Jonathan Dursi
Senior Solutions Architect at NVIDIA
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolJonathan Dursi is a Senior Solutions Architect who combines over two decades of deep technical R&D experience with national-scale program leadership at the intersection of AI, life sciences, and advanced computing infrastructure. He has moved seamlessly between academia, government and industry—shaping Canada’s research computing strategy as Compute Canada’s first CTO, building the federated CanDIG genomics platform that seeded a $300M cancer network, and now advising national R&D customers at NVIDIA on $300M+ procurements. Jonathan is as comfortable redesigning distributed auth and federated bioinformatics algorithms as he is coordinating 150+ FTE operations and running multi-year stakeholder engagements. He contributes hands-on to open-source scientific tooling (notably improving nanopore methylation analysis in nanopolish) and repeatedly turns prototype research into production-grade, standards-driving systems. Colleagues rely on him for bridging technical depth with policy, training, and strategic planning to deliver real-world impact from complex research problems.
12 years of coding experience
13 years of employment as a software developer
B. Sc. Math Physics Computer Science, B. Sc. Math Physics Computer Science at Saint Mary's UniversityM. Sc. Physics Astrophysics Computational Science, M. Sc. Physics Astrophysics Computational Science at Queen's UniversityPh.D. Astrophysics, Ph.D. Astrophysics at University of Chicago
English, French
Stackoverflow
50,537reputation
3.3mreached
568answers
1question
unix
top-5%
cuda
top-1%
gpu
top-5%
gpgpu
top-5%
matplotlib
top-5%
nvidia
top-5%
Github Skills (41)
algorithm10
algorithms10
c-language10
fortran10
mpi10
openmp10
parallel-processing10
atomic10
cuda10
bioinformatics10
cprogramming-language10
multidimensional-arrays9
matplotlib9
unix9
gpgpu9
Programming languages (18)
Github contributions (5)
jts/nanopolish
Sep 2015 - Jul 2016
Signal-level algorithms for MinION data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:28 commits, 7 PRs, 3 comments in 10 months
Contributions summary:Jonathan primarily focused on modifying and optimizing the `nanopolish` codebase, which includes signal-level algorithms for MinION data. Their contributions centered on refining the core algorithms, particularly regarding pore models and k-mer handling. They implemented changes to improve the accuracy of methylation analysis by recalibrating reads and refining model scoring. The user's work impacted the core functionality of the software, with a focus on improving the accuracy of the methylation analysis tools.
bioinformaticsgenome-assemblyepigeneticsmethylationscience
ljdursi/computecanadian
Apr 2017 - Aug 2022
Contributions:66 pushes in 5 years 5 months
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