Sofia Broomé
Computer Vision Researcher at Sleip
Stockholm County, Sweden
Summary
👤
Senior🎓
Top SchoolSofia Broomé is a computer vision researcher with a decade of experience blending machine learning, mathematics and physics to solve spatiotemporal vision problems. She completed extensive graduate work at KTH, including a PhD project on detecting pain expressions in horses from video, and has applied that expertise in industry roles from ML R&D to her current research position at Sleip. Comfortable moving between theory and application, she focuses on deep action recognition, interpretability, and temporal feature modeling for reliable diagnostics. Sofia pairs rigorous academic training with hands-on engineering—having built prototype algorithms and visualizations in Python during internships and R&D roles—and brings an unusual human-centered angle, driven by a strong interest in people and communication. Outside research she DJs rap music, hinting at a creative streak that complements her analytical work.
10 years of coding experience
2 years of employment as a software developer
Social science programme, Social science programme at Södra Latins GymnasiumMaster of Science (MSc), Machine Learning, Master of Science (MSc), Machine Learning at KTH Royal Institute of TechnologySvenska skolan i Paris
Swedish, English, French, italienska
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
pytorch10
machine-learning10
deep-learning10
recurrent10
expressions10
Programming languages (2)
Github contributions (5)
sofiabroome/temporal-shape-dataset
Aug 2021 - Dec 2022
Contributions:59 commits, 50 pushes, 1 branch in 1 year 4 months
sofiabroome/painface-recognition
Aug 2017 - Jul 2022
Using deep recurrent networks to recognize horses' pain expressions in video.
Contributions:1328 commits, 6 PRs, 221 pushes in 4 years 11 months
pytorchrecognizedeep-learningmachine-learningrecurrent-networks
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