Irina Grigorescu
Research Associate In Fetal MRI Analysis
Stony Stratford, England, United Kingdom
Summary
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Senior🎓
Top SchoolIrina Grigorescu is a medical image analysis researcher and software engineer with a decade of experience applying deep learning to fetal and neonatal MRI. Based at King's College London, she develops segmentation and registration tools and supports machine learning teaching, pairing hands-on Python expertise (TensorFlow, PyTorch, Scikit-Learn) with a strong academic background from UCL and Polytechnic University of Bucharest. Her work spans realistic MR simulation, open-source imaging tools and applied research—she’s published on holographic biological imaging and contributes science writing to Physics World. Comfortable bridging research, teaching and applied engineering, she is open to part-time collaborations and internships while completing her PhD-era commitments.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science and Information Technology, Bachelor of Science (B.Sc.), Computer Science and Information Technology at Faculty of Automatic Control and Computer Science, Politechnic University of BucharestMaster of Science (M.Sc.), Parallel and Distributed Computer Systems, Master of Science (M.Sc.), Parallel and Distributed Computer Systems at Faculty of Automatic Control and Computer Science, Politechnic University Bucharest"Ion C. Bratianu" National CollegeUniversity College London
EnglishGithub contributions (5)
baby-MedIA/baby-MedIA.github.io
May 2024 - Nov 2024
Contributions:23 pushes in 6 months
irinagrigorescu/simulationMRI
Jul 2017 - Nov 2017
Contributions:19 pushes, 1 branch in 4 months
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