Roger Trullo is a Senior Research Engineer with a PhD in Deep Learning applied to medical imaging and over a decade of experience deploying ML and computer vision solutions across pharma, aerospace, and research settings. He has led applied research from classical methods to state-of-the-art deep learning—designing CNN/FCN segmentation models, GAN-based image synthesis, and anomaly detection pipelines for CT and MRI data. At Sanofi and Safran he translated research prototypes into domain-ready bioimaging and NDT tools, and now advances applied ML at InstaDeep. Comfortable with probabilistic graphical models and Bayesian approaches as well as modern deep learning, he brings a strong blend of theoretical rigor and production-minded engineering. An unusual thread through his career is repeatedly bridging one-class and ensemble methods into practical anomaly detection systems for imaging tasks.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Deep Learning applied to Medical Imaging, Doctor of Philosophy - PhD Deep Learning applied to Medical Imaging at Université de Rouen
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at Polytech Tours
Electronic Engineer Electrical and Electronics Engineering, Electronic Engineer Electrical and Electronics Engineering at Universidad del Valle (CO)
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