Summary
Fabio Ferreira is a Senior Machine Learning Scientist based in London with 11 years of experience applying probabilistic and deep learning methods to health, life and environmental sciences. He holds a PhD in Computer Science from UCL and has led multidisciplinary projects at Imperial College using large-scale healthcare datasets such as UK Biobank and the SAIL Databank. His work spans explainable Bayesian models, NLP with clinical large language models (BERT, ClinicalBERT, GatorTron, Llama 3), and generative AI for high-fidelity 3D image synthesis at Qureight. Fabio combines rigorous academic research—developing biomarkers and patient stratification methods—with industry collaborations, translating complex models into practical clinical and public-health applications. He is notable for bridging probabilistic inference and modern deep learning in medical imaging and digital public health, often working with multinational partners like Mastercard.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Biomedical Engineering, 17/20, Master's degree, Biomedical Engineering, 17/20 at Universidade de Coimbra / University of Coimbra
University College London
Portuguese, English, Spanish