Dr Matteo Santoro, Camelot CEO and director of innovation, he had several research experiences in Italy and North America, including a postdoctoral fellow at IIT-MIT. His recent research focused on theory and algorithms for machine learning and medical image analysis, whereas his doctorate research focused on combining computer vision techniques and formal methods for assistive robotics. He holds a MSc in Physics and a PhD in Computer Science from the University of Naples, Italy.
Dr Sofia Mosci has long experience in theory and algorithms for sparsity-based data representation and optimization methods for learning. She earned the Certificate in Technology Entrepreneurship at the Santa Clara University, CA, and MSc and PhD in Physics from the University of Genoa, Italy. She has also been a research fellow at Institut Curie, Paris, France.
Dr Curzio Basso has a long experience in efficient software development for quantitative analysis of bio-images and data based on machine learning. Previous to Camelot, he has been a research fellow at the CS Department of the University of Genoa, Italy, where he worked on the analysis of medical images and the extraction of imaging biomarkers. Previously, he was at the University of Freiburg, Germany, and at the University of Basel, where he earned a PhD in Computer Science.
Dr Mario Esposito has as strong experience in software development for image registration and multimodal fusion. Mario also has research experience in image analysis with a focus on registration problems and in robot and sensor systems in both real and simulated scenarios, achieved through research fellowships at the Italian Institute of Nuclear Physics and at the Institute of Biostructures and Bioimaging of the National Research Council (CNR). Mario holds a PhD in Computer Science and MSc in Physics from the University of Naples, Italy.