Tommy Löfstedt
Associate Professor
Greater Umeå Metropolitan Area Sweden
Summary
👤
Senior🎓
Top SchoolTommy Löfstedt is an Associate Professor (Docent) at Umeå University with 12 years of experience applying machine learning and computer vision to medical image analysis. He combines a strong academic background—a PhD in Computational Science and Engineering—with practical consultancy as CEO of Computational Solutions, bridging research and real-world deployments. His work spans postdoctoral research in France and long-term roles at Umeå’s Departments of Computing Science and Radiation Sciences, reflecting deep domain knowledge in imaging and numerical methods. Known for translating advanced ML methods into clinically relevant tools, he brings both rigorous theory and hands-on engineering to interdisciplinary teams.
11 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.), Computing Science, Master of Science (M.Sc.), Computing Science at Umeå universitetDoctor of Philosophy (Ph.D.), Computational Science and Engineering, Doctor of Philosophy (Ph.D.), Computational Science and Engineering at Umeå University
English, Swedish, German, French, Spanish
Github Skills (31)
data-analysis10
python10
image-processing10
image10
data-science10
scikit10
statistics10
machine-learning10
latex10
scikit-learn10
computer-vision9
sequential8
binder8
optuna8
hyperparameters7
Programming languages (5)
Github contributions (5)
tomlof/pylearn-parsimony
Mar 2015 - Dec 2020
Contributions:182 pushes, 2 branches, 3 tags in 5 years 9 months
tomlof/OnPLS
Sep 2016 - Sep 2017
Contributions:16 commits, 11 pushes, 1 branch in 1 year
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