Summary
Adalberto Quiros is a Staff Machine Learning Scientist and former Lecturer in ML at the University of Glasgow with 12 years of experience bridging deep learning research and hardware engineering. He holds a PhD in Computer Science for work on unsupervised representation learning of cancer tissue using generative and self-supervised methods, and his interests span interpretability and the intersection of ML with social and political science. Before academia he spent several years as an SoC/FPGA design engineer at Altera and Intel, giving him practical systems and electronics expertise that informs his ML work. Now at Indra, he combines research-grade methodology with product-focused delivery, translating novel representation learning ideas into real-world applications. Colleagues note his uncommon blend of biomedical imaging insight, hands-on hardware background, and a clear bent for explainability.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science & Master of Science Telecommunications Engineering. Specialized in Electronics, Bachelor of Science & Master of Science Telecommunications Engineering. Specialized in Electronics at Universidad Politécnica de Madrid
Master of Science (M.S.) Electrical Engineering. Specialized in Electronics, Master of Science (M.S.) Electrical Engineering. Specialized in Electronics at Illinois Institute of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Glasgow
Spanish, English