Oeslle Lucena is a Custom Integrations Engineer with a decade of experience specializing in deep learning for medical imaging, combining a PhD from King's College London with hands-on work across research labs and industry. He has driven large-scale segmentation and self-supervised transformer projects, collaborated on MONAI open-source efforts, and scaled models on HPC and cloud platforms. His background spans MRI/CT tooling, clinical tractography, uncertainty modeling for surgical planning, and practical integrations—from C++ post-processing tools to serverless model deployments. Known for presenting research at conferences and journals, he brings both academic rigor and product-focused engineering to bridge complex research with production integrations. An interesting facet is his progression from undergraduate signal-and-image labs in Brazil to leading integrative ML work in London, reflecting deep domain expertise paired with versatile implementation skills.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Western University
Master of Science - MS, Deep Learning for Medical Imaging, Master of Science - MS, Deep Learning for Medical Imaging at Universidade Estadual de Campinas
Bachelor of Engineering - BE, Electrical Engineering, Bachelor of Engineering - BE, Electrical Engineering at Universidade Federal de Campina Grande
Doctor of Philosophy - PhD, Deep Learning for Medical Imaging, Doctor of Philosophy - PhD, Deep Learning for Medical Imaging at King's College London
Contributions:30 commits, 1 PR, 25 pushes in 1 year 2 months
brainconsensusmasksdeep-learningconvolutional
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