Brais Castro is an AI researcher and assistant professor at Universidade da Coruña with eight years of experience bridging academic research and applied engineering. He is pursuing a PhD in Computational Science while focusing on explainable AI and inductive learning, and contributes to the IRLab and CITIC research groups. His work targets both inherently interpretable models and techniques to add explainability to black-box algorithms, with current projects applying AI to 3D-printed medicines and donor–recipient matching for liver transplants. Having moved from web development into research and teaching roles, he combines practical engineering skills with rigorous experimental methodology and a strong interest in human-centered AI for healthcare.
8 years of coding experience
1 year of employment as a software developer
Doctorado en Computación, Computational Science, Doctorado en Computación, Computational Science at University of A Coruna
Contributions:109 commits, 56 pushes, 27 branches in 1 year 5 months
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Brais Castro - Assistant Professor at Universidade da Coruña