Mirko Myllykoski
Senior Research Scientist at Varian
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolMirko Myllykoski is a Senior Research Scientist at Varian (Siemens Healthineers) with nine years of experience in numerical linear algebra, high-performance computing and GPU-accelerated algorithms for radiotherapy treatment planning. He holds a PhD in Mathematical Information Technology from the University of Jyväskylä, where his dissertation advanced fast direct solvers, GPU computation and image denoising. Mirko has bridged academia and industry via postdoctoral roles and applied research engineering at Umeå University and HPC2N, where he also led training on task-based parallelism and heterogeneous computing. At Varian he focuses on optimization and parallel computing both with and without GPUs to deliver clinically relevant planning algorithms. Colleagues describe him as a problem-solver who turns deep numerical insight into performant production code, and he often brings pedagogy into projects by mentoring and organizing hands-on workshops. Based in Helsinki, he combines rigorous theory with practical implementation experience across HPC and medical imaging domains.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematical Information Technology, “Excellent” (5 / 5), Doctor of Philosophy (Ph.D.), Mathematical Information Technology, “Excellent” (5 / 5) at University of Jyväskylä
English, Finnish, Swedish
Github Skills (6)
mpi10
shared-memory10
parallel-computing10
gpu10
eigenvalue10
hpc4
Programming languages (1)
Github contributions (5)
NLAFET/StarNEig
Apr 2019 - Jan 2023
A Task-based Library for Solving Dense Nonsymmetric Eigenvalue Problems
Contributions:27 releases, 563 commits, 4 PRs in 3 years 9 months
eigenvaluesdistributed-memorympishared-memorysolving
hpc2n/Task-based-parallelism
Apr 2021 - May 2021
Empty template lesson
Contributions:80 commits, 67 pushes, 1 branch in 1 month
emptytemplatelesson-template
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