Michal Drozdzal
Research Scientist at Facebook AI Research
Montreal, Quebec, Canada
Summary
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Rockstar🎓
Top SchoolMichal Drozdzal is a research scientist at Facebook AI Research in Montreal with a decade of experience at the intersection of computational vision, machine learning, and medical image analysis. He earned a PhD in Computer Science from the University of Barcelona and progressed through multiple postdoctoral roles across Europe and Canada before joining FAIR, bringing deep academic rigor to applied research. Michal has a track record of translating advanced ML and computer vision methods into medical imaging problems, reflecting both theoretical depth and domain-driven impact. His career path—moving from doctoral research to industry research labs—suggests a pragmatic focus on deployable scientific solutions rather than purely theoretical work. Based in Montreal, he combines international academic training with experience inside a leading industrial AI lab, positioning him to bridge cutting-edge research and real-world healthcare applications.
10 years of coding experience
Master's degree, Teleinformatics, Master's degree, Teleinformatics at Politechnika WrocławskaLiceum Ogólnokształcące nr VII im. Krzysztofa Kamila Baczyńskiego we WrocławiuPhD, Machine Learning, Computer vision, PhD, Machine Learning, Computer vision at Universitat de Barcelona
Polish, Spanish, English
Github Skills (16)
mri9
measurements9
convolutional-neural-networks9
prediction9
medical-imaging8
inverse-problems8
robust8
pytorch7
computer-vision6
scale6
deep-learning6
machine-learning6
large-scale6
neuroimaging6
architectures5
Programming languages (2)
Github contributions (5)
facebookresearch/ppuda
Oct 2021 - Jul 2022
Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
Contributions:4 commits, 6 PRs, 6 pushes in 9 months
pytorcharchitecturespredictionneurips-2021unseen
adri-romsor/iterative_inference_segm
Aug 2016 - May 2017
Contributions:11 commits in 8 months
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