Fredrik Gustafsson
Postdoctoral Fellow at AstraZeneca
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolFredrik Gustafsson is a machine learning researcher and engineer with a decade of experience applying deep learning to healthcare and computer vision problems, currently a postdoctoral research assistant at the University of Oxford. He holds a PhD focused on accurate and reliable deep regression models and has bridged academia and industry through roles at Karolinska Institutet, Facebook Reality Labs, and automotive-focused internships developing perception systems. His work blends rigorous methodological research with practical system-building—ranging from LiDAR- and image-based 3D detection to clinical ML—guided by supervisors and collaborators across top institutions. Based in Oxford but with a strong Swedish academic and industry background, he maintains a public portfolio of publications and talks that emphasize reproducibility and robustness in medical AI. An undervalued thread in his profile is hands-on deployment experience from prototype platforms (including embedded-scale demos) that inform his research on trustworthy models.
10 years of coding experience
3 years of employment as a software developer
Graduate Exchange Student Electrical Engineering, Graduate Exchange Student Electrical Engineering at Stanford UniversityVolvo Aeroprogrammet, Volvo Aeroprogrammet at Nils EricsonsgymnasietMaster of Science (MSc) Electrical Engineering, Master of Science (MSc) Electrical Engineering at Linköping UniversityDoctor of Philosophy (PhD) Machine Learning, Doctor of Philosophy (PhD) Machine Learning at Uppsala University
Swedish, English
Github Skills (23)
lstm-neural-networks10
pytorch10
semantic-segmentation10
machine-learning10
3d-detection10
3d-object-detection10
bayesian-deep-learning10
deep-learning10
kitti-dataset10
object-detection10
computer-vision10
autonomous-driving10
attention-mechanism9
lstm9
point-cloud9
Programming languages (3)
Github contributions (5)
fregu856/papers
Sep 2018 - Dec 2022
I categorize, annotate and write comments for all research papers I read (550+ papers since 2018).
Contributions:1449 commits, 1830 pushes, 21 branches in 4 years 3 months
machine-learningdeep-learningcomputer-vision
fregu856/skalman
Mar 2018 - Sep 2018
Contributions:14 commits, 30 pushes, 1 branch in 6 months
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