Michail Mamalakis
Affiliate Lecturer @University Of Cambridge Department Of Computer Science And Technology
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WORK HISTORY
Affiliate Lecturer @University Of Cambridge Department Of Computer Science And Technology
Cambridge, GB
EDUCATION
University of Patras
Engineer’s Degree, Electrical and Electronics Engineering
University of Patras
Master’s Degree, Biomedical/Medical Engineering
The University of Sheffield
Doctor of Philosophy - PhD, Medical imaging analysis (Deep learning, Machine learning)
ABOUT MICHAIL MAMALAKIS
Dr. Michail Mamalakis is an AI & Neuroscience Researcher scientist at the University of Cambridge, specializing in AI, Machine Learning, eXplainable AI and Computer Vision for biomedical applications. His work focuses on explainable AI (XAI) for integrating imaging, genomics, and phenotyping data in neuroscience and clinical decision-making.He has collaborated with leading institutions, including Oxford, Sheffield, and Cambridge, on projects in brain tumors, Alzheimer’s, cardiac arrhythmias and pulmonary hypertension. His research spans AI-driven biomarker discovery, uncertainty estimation, attributional interpretability in funtional and structural imaging and mechanistic interpretability in protein language models and large language models.Currently, he develops multi-modal AI frameworks for Alzheimer’s prediction and glioblastoma analysis contributing to high-impact projects like EBRAINS 2.0.Analytical CV in \'Featured\' section \'CV_extended\' doc!A) Phd COM department university Sheffield:Segmentation/classification and medical image analysis of cardiac MRI images, DL and ML.B) Research topics of interest: Deep Learning, eXplainable AI, Mechanistic interpretability in LLM and PLM, Machine Learning, Image analysis, uncertainty estimation, domain adaptation, self-supervised methods, reduce dimensionality.C) Software skills:C/C++ and Python. OpenMP, Cuda for multi-threading and GPU coding, SPARK, R Python libraries: pytorch, tensorflow, keras, sklearn, transformers etc.D) Coding experience:C,C++(7 years), Java (4 years), Python(6 years), Matlab/octave (9 years). I prefer Linux or Unix as OS.
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