Keynote Speakers
Sander Dieleman, Google DeepMind, London (UK)
7th October 2026 Morning Keynote
Sander Dieleman is a Research Scientist at Google DeepMind in London, UK, where he has worked on the development of AlphaGo, WaveNet, Nano Banana, Veo, and more. He obtained his PhD from Ghent University in 2016. His current research interests include representation learning and generative modelling of audio, images and video.
Elisa Ricci, University of Trento, Trento (Italy)
7th October 2026 Afternoon Keynote
Elisa Ricci is a Professor at the Department of Information Engineering and Computer Science (DISI) at University of Trento and the Head of the Research Unit Deep Visual Learning at Fondazione Bruno Kessler. Elisa is also the Coordinator of Doctoral Program in Information Engineering and Computer Science at University of Trento. She is an ELLIS and a IAPR Fellow.
Her research lies at the intersection of computer vision, deep learning and robotics perception. She is interested in developing novel approaches for learning from visual and multi-modal data in an open world, with particular emphasis in methods for domain adaptation, continual and self-supervised learning.
Pietro Lió, University of Cambridge, Cambridge (UK)
8th October 2026 Morning Keynote
Pietro Liò is a Full Professor at the Department of Computer Science and Technology of the University of Cambridge and is a member of the Artificial Intelligence group, holds an MA from Cambridge, a PhD in Complex Systems and Non Linear Dynamics (School of Informatics, dept of Engineering of the University of Firenze, Italy) and a PhD in (Theoretical) Genetics (University of Pavia, Italy). His research interest focuses on developing Artificial Intelligence and Computational Biology models to understand diseases complexity and address personalised and precision medicine. Current focus is on Graph Neural Network modeling. He is also a member of Cambridge Centre for AI in medicine – the Integrate Cancer Medicine Institute, the committee of MPhil in Computational Biology (Stakeholder Group for the CCBI) , steering committee of Cambridge BIG data, VPH-UK (Virtual Physiological Human), fellow and member of the Council of Clare Hall College, member of Ellis, the European Lab for Learning & Intelligent Systems and a member of the Academia Europaea.
He is listed in www.topitalianscientists.org/Top_italian_scientists_VIA-Academy.aspx
Website: https://www.cl.cam.ac.uk/~pl219/
Elena Casiraghi, University of Milan, Milan (Italy)
8th October 2026 Afternoon Keynote
Elena Casiraghi is Associate Professor of Computer Science at the University of Milan and Head of AnacletoLab – Laboratory of Computational Biology and Bioinformatics. Her research lies at the intersection of machine learning, data integration, and translational biomedical science. She develops theoretically grounded and interpretable AI methods for high-dimensional and heterogeneous biomedical data, with applications spanning medical imaging, clinical data, multi-omics integration, and molecular representation learning. Her work addresses structural challenges such as missing data, small-sample-size settings, intrinsic dimensionality estimation, and multimodal data fusion, with a strong emphasis on robustness and validation. More recently, she has explored graph-based representation learning and foundation models, including large language models for protein and RNA sequence modelling. She has authored over 100 peer-reviewed journal articles and actively collaborates with clinical and biomedical institutions to advance reliable precision medicine.
