Matias Valdenegro Toro

Dr. Matias Valdenegro Toro is an Assistant Professor of Machine Learning at the University of Groningen's Faculty of Science and Engineering, affiliated with the Artificial Intelligence department within the Bernoulli Institute. His research focuses on developing trustworthy machine learning models for medical AI and robotics applications, emphasizing uncertainty estimation, computer vision, and explainable AI. He holds a PhD from Heriot-Watt University (2019) and a Master of Science in Autonomous Systems from Bonn-Rhein-Sieg University (2014).

His work contributes to UN Sustainable Development Goals related to quality education and industry innovation. Notable achievements include Best Reviewer awards at leading machine learning conferences and highlighted contributions to uncertainty quantification research. He teaches courses such as 'Introduction to Machine Learning' and 'Deep Learning' at the university's AI programs.

Recent research explores adaptive prompt tuning for few-shot learning, Bayesian neural networks for uncertainty modeling, and neuromorphic approaches to robotics. His collaborations include the German Research Center for Artificial Intelligence and European summer schools on AI. Key datasets include the Japanese Uncertain Scenes Dataset.