Lars Kasper
Lead MR Physicist at Department of Psychology, University of Toronto
Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolLars Kasper is a Lead MR Physicist in Toronto with a decade of experience advancing MRI sensitivity through efficient spiral acquisitions, advanced image reconstruction, and physiological plus field-based noise correction. At the Toronto Neuroimaging Facility he manages operations, reviews protocols, and develops robust toolboxes that make cutting-edge methods reproducible and accessible. His background spans translational laminar fMRI and field monitoring from ETH Zürich to applied innovation at Techna, where he combined model-based retrospective motion correction and AI-enhanced approaches. A proponent of open science, he ships clean, reusable code and prioritizes training and accessibility for researchers balancing family and career. What sets him apart is a rare blend of hands-on sequence design, reconstruction engineering in Julia, and a systems view that connects method development directly to neuroimaging practice.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at ETH ZürichUniversity Level Entree Degree, Math, Physics, Latin, History, 1.0 (100/100), University Level Entree Degree, Math, Physics, Latin, History, 1.0 (100/100) at Georg-Cantor-Gymnasium, Halle (Saale), GermanyMaster of Science - MS, Physics, 1.1, Master of Science - MS, Physics, 1.1 at The University of Göttingen
German, English
Github Skills (25)
statistical-learning10
neuroscience10
science10
bayesian-inference10
mri8
open-access6
journal6
matlab5
singularity5
docker5
academia5
connectivity4
neuroimaging4
protocols4
creative-commons4
Programming languages (9)
Github contributions (5)
mrikasper/paper-advances-in-spiral-fmri
Jan 2020 - Feb 2022
Contributions:3 releases, 14 commits, 9 pushes in 2 years 1 month
translationalneuromodeling/tapas
Sep 2015 - Dec 2022
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
Contributions:1 release, 3 reviews, 128 commits in 7 years 3 months
neurosciencepsychiatryscienceneurologybayesian-inference
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