Cesare Magnetti is a Senior Data Scientist based in London with five years of experience building client-facing ML solutions and bridging research and product across academia and industry. He combines deep learning, reinforcement learning and computer vision expertise with rapid prototyping and sales enablement, enabling practical deployments of complex models. His work spans real-time generative and adversarial networks for simulation in medical imaging to applied causal and production ML at causaLens and PhysicsX. Cesare holds an MSc in AI & Machine Learning from Imperial College London with a top 1% thesis distinction, and a BEng in Biomedical Engineering from King’s College London. He is comfortable translating cutting-edge research into client-ready features and has repeatedly delivered on tight, multidisciplinary projects involving clinicians, product teams and stakeholders. A less obvious strength is his track record of turning academic generative-model research into real-time, patient-specific simulation tools.
5 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computing (Artificial Intelligence and Machine Learning), Master of Science - MS Computing (Artificial Intelligence and Machine Learning) at Imperial College London
Bachelor of Engineering - BEng Biomedical Engineering, Bachelor of Engineering - BEng Biomedical Engineering at King's College London
Contributions:46 commits, 203 pushes, 4 branches in 5 months
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