Summary
Francesco Pugliese is a data scientist and machine learning researcher with a PhD in Robotics and AI and over a decade of experience combining academic research with hands-on software development. Based in Rome, he blends deep learning, computer vision and evolutionary robotics expertise with a strong Java/Android and C/C++ engineering background, having prototyped an award-winning Android app that recognizes Roman monuments using convolutional networks. At ISTAT he applies ML and web-scraping techniques to deliver practical AI solutions, while his research spans neural networks, cognitive systems and robotic simulators. He has led multidisciplinary teams and co-founded an AI startup that progressed through a major Italian accelerator, demonstrating both technical leadership and entrepreneurial drive. Known for creative problem-solving, Francesco builds bridges between research ideas and deployable systems, with a particular interest in enabling robots and drones to extract human-meaningful concepts from sensory data.
11 years of coding experience
Computer Science, Artificial Intelligence, 108, Computer Science, Artificial Intelligence, 108 at Sapienza Università di Roma
Doctor of Philosophy (PhD), Psychology, Doctor of Philosophy (PhD), Psychology at Università degli Studi di Napoli Federico II
Italian, English, Spanish