Pedro Larrañaga

Pedro Larrañaga is a Full Professor in Computer Science and Artificial Intelligence at the Technical University of Madrid (UPM) since 2007. Previously, he held academic positions at the University of the Basque Country as Assistant Professor (1985–1998), Associate Professor (1998–2004), and Full Professor (2004–2007). He earned his MSc in Mathematics (Statistics) from the University of Valladolid and a PhD in Computer Science from the University of the Basque Country, receiving an excellence award. His research spans probabilistic graphical models, optimization, data mining, and applications in biomedicine, bioinformatics, neuroscience, industry, and sports.

Larrañaga leads extensive work on Bayesian networks, evolutionary algorithms, and high-dimensional data analysis. His recent publications emphasize scalable probabilistic modeling, quantum computing interfaces, and interpretable AI for biomedical and industrial contexts. Over 200 journal publications reflect sustained contributions to machine learning theory and computational intelligence.

Awards & Fellowships:

• Fellow, European Association for Artificial Intelligence (2012)
• Fellow, Academia Europaea (2018)
• Fellow, Asia-Pacific Artificial Intelligence Association (2021)
• Fellow, Jakiunde—Academy for the Sciences, Arts, and Letters of the Basque Country (2022)
• Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS) (2023)
• Fellow, IEEE (2023)
• Fellow, Industry Academy within the International Artificial Intelligence Industry Alliance (2024)
• Spanish National Prize in Computer Science (2013)
• Spanish Association for Artificial Intelligence Prize (2018)
• Amity Research Award in Machine Learning (2020)

He has supervised 36 PhD theses and contributes to large-scale neuroscience collaborations, including brain morphology analysis and computational neuroanatomy. Research grants focus on Bayesian methodologies for industrial IoT, health informatics, and quantum algorithm development.