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Francisco Pena Escobar is an Assistant Professor at the Royal Institute of Technology (KTH). His expertise lies in computer vision and unsupervised machine learning, which he applies to diverse contexts including digital pathology and remote sensing. He heads the Learning Supervision Lab at KTH, focused on advancing artificial intelligence through guiding principles such as the use of unlabeled data for training models, prioritizing real-world data challenges over artificial benchmarks, collaborating with external partners for impactful research, and designing methods that integrate domain knowledge to address specific challenges. Prior to his current position, Escobar held postdoctoral roles at Karolinska Institute, Stockholm University, and KTH University College Dublin. He earned his PhD in Computer Science from University College Cork, a Master’s in Artificial Intelligence from Technical University of Madrid, and a Software Engineering degree from Universidad del Valle.
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