Miguel Monteiro is a Principal Research Scientist based in London with eight years of experience building machine learning and computer vision systems for medical imaging, currently leading biomarker-extraction algorithm development at Qureight. He holds a PhD in Computer Science from Imperial College London and a strong engineering foundation from double degrees in Electrical and Computer Engineering and Wireless Systems, blending rigorous research with production-minded implementation. Miguel has led projects from CT lesion analysis for the EU CENTER-TBI consortium to industrial deep-learning segmentation pipelines and has hands-on experience tackling label noise and outlier detection from a Microsoft research internship. Known for translating academic advances into clinical-grade tools, he combines statistical rigor with practical system design and an eye for robust, deployable models. An underappreciated strength is his cross-domain background in time-series and network forecasting, which informs more resilient model engineering for healthcare applications.
8 years of coding experience
9 years of employment as a software developer
Lisbon Machine Learning School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Imperial College London
Deep Learning, Deep Learning at Udacity
Machine Learning - Stanford University, A, Machine Learning - Stanford University, A at Coursera
Double Degree Master's, Wireless Systems, Double Degree Master's, Wireless Systems at KTH Royal Institute of Technology
Double Degree Master's, Electrical and Computer Engineering, 18/20, Double Degree Master's, Electrical and Computer Engineering, 18/20 at Instituto Superior Técnico
Permutohedral Lattice C++/CUDA implementation + TensorFlow Op (CPU/GPU)
Contributions:134 commits, 1 PR, 6 pushes in 11 months
cudacpucpptensorflow-opgpu
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Miguel Monteiro - Principal Research Scientist at Qureight