Kevin Vinsen

Senior Research Fellow at International Centre for Radio Astronomy Research

Western Australia
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Summary

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Senior
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Top School
Kevin Vinsen is a Senior Research Fellow with over 14 years building mission-critical, data-intensive systems for astronomy and defence, currently tackling ExaFlop-scale computing, ExaByte storage and ExaByte/s networking challenges for the SKA at ICRAR. He blends deep systems and software engineering (C/C++, Java, Python, HPC, databases, low-latency scheduling) with architecture and strategic thinking from decades of systems- and integration- engineering roles. Kevin leads international integrations (LSST, Pan-STARRS) to fuse radio and optical data pipelines and researches storage, dataflow and visualization constraints driven by power and scale. A seasoned educator and communicator, he also engages in outreach across schools and professional audiences to translate ICT constraints of big-science projects. Less obvious: his background spans formal methods, AI/genetic algorithms and SCADA/command-and-control systems, giving him a rare mix of research, operational systems and applied machine learning experience.
code14 years of coding experience
job20 years of employment as a software developer
bookPhD (Not completed), Linguistics, PhD (Not completed), Linguistics at The University of Western Australia
bookBSc (Hons), Physics with Electronics, BSc (Hons), Physics with Electronics at City St George’s, University of London
bookMPhil, Mathematics, MPhil, Mathematics at De Montfort University
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Stackoverflow

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Github Skills (19)

sourcery7
refactoring6
aws6
eagle5
directory-structure5
deep-learning5
machine-learning5
python5
pytorch5
graph4
ai3
docker3
cli3
container2
pipeline2

Programming languages (3)

DockerfileCPython

Github contributions (5)

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ICRAR/gama-magphys

Feb 2015 - Mar 2018

Contributions:134 pushes in 3 years 2 months
ICRAR/gw_work

Nov 2017 - Jul 2018

Contributions:185 pushes, 1 branch in 8 months
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Kevin Vinsen - Senior Research Fellow at International Centre for Radio Astronomy Research