Michail Mamalakis
Research Assistant Professor at University of Cambridge Department of Computer Science and Technology
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMichail Mamalakis is an AI and neuroscience researcher with nine years' experience building explainable, multimodal machine learning systems for biomedical imaging and genomics, currently based at the University of Cambridge and Cancer Research UK. He blends deep expertise in medical image analysis—from cardiac MRI segmentation in his PhD to glioblastoma and Alzheimer’s prediction—with mechanistic interpretability work on protein and large language models. Comfortable from low-level C/C++ and CUDA to PyTorch/TensorFlow stacks, he focuses on uncertainty estimation, domain adaptation and self-supervised methods that make clinical AI more trustworthy. Notably, his portfolio spans translational projects across Oxford, Sheffield and Cambridge and contributions to large initiatives like EBRAINS 2.0, reflecting a rare mix of hands-on coding, academic rigour and clinical collaboration.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree, Biomedical/Medical Engineering, Master’s Degree, Biomedical/Medical Engineering at University of PatrasDoctor of Philosophy - PhD, Medical imaging analysis (Deep learning, Machine learning), Doctor of Philosophy - PhD, Medical imaging analysis (Deep learning, Machine learning) at The University of Sheffield
English, Greek
Github Skills (31)
biomechanics7
robotics7
physics-engine7
medical-imaging6
vtk6
segmentation6
atlas6
dicom5
itk5
osgi5
imaging5
python5
sprint4
mitk4
qt4
Programming languages (5)
Github contributions (5)
ece7048/MultiCoFEA
Apr 2017 - Jun 2018
Contributions:49 commits, 48 pushes, 1 branch in 1 year 2 months
ece7048/MHL-RGB-deep-learing
Jul 2022 - Jan 2024
Multi-head attention channel
Contributions:2 PRs, 123 pushes, 1 branch in 1 year 5 months
channel-attentionvisual-recognitionheadvision
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