Kerstin Johnsson
Senior Data Scientist
Lund, Sweden
Summary
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Senior🎓
Top SchoolKerstin Johnsson is a Senior Data Scientist and ML engineer with a PhD in Applied Mathematics and 11 years of experience building deep learning solutions for medical imaging, edge devices, and cloud deployments. She has driven production-grade, FDA-approved AI software and led AI teams as a contractor while also shaping Applied AI strategy, recruitment, and training in consulting roles. Her background blends rigorous research in clustering, Bayesian methods and high-performance computation with hands-on computer vision engineering. Based in Lund, Sweden, she moves fluidly between research and productization, often translating complex statistical ideas into deployable systems for healthcare and public sector use. An understated strength is her track record of building multidisciplinary teams and curricula to grow organizational AI competence.
11 years of coding experience
10 years of employment as a software developer
Exchange student Mathematics, Exchange student Mathematics at University of California, BerkeleyMScE Mathematics Engineering, MScE Mathematics Engineering at The Faculty of Engineering at Lund University
English, Swedish, German, French
Github Skills (11)
scikit-learn10
statistics10
machine-learning10
python10
data-science10
data-analysis10
statistical-tests9
complex6
topological-data-analysis5
mixture2
modeling1
Programming languages (2)
Github contributions (5)
JonasWallin/BayesFlow
Dec 2014 - Apr 2016
Contributions:194 commits, 155 pushes, 1 branch in 1 year 4 months
kjohnsson/intrinsicDimension
Aug 2017 - May 2019
Methods for estimating intrinsic dimension and methods for generating data on manifolds
Contributions:15 commits, 2 PRs, 12 pushes in 1 year 9 months
estimatingmachine-learningdimensionmanifoldstopological-data-analysis
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