Dr Gabriella Pizzuto is an interdisciplinary early career researcher in robotics and applied machine learning, currently working at the University of Liverpool as the lead research associate on the ERC Synergy Grant 'Autonomous Discovery of Advanced Materials' (ADAM). Prior to this she was a postdoctoral research associate at the Edinburgh Centre for Robotics on the EPSRC NCNR project, where she focused on physics-constrained robot learning and uncertainty estimation in robotic manipulation. She obtained her Ph.D. in computer science from the University of Manchester in 2020, where she was also a Marie-Sklodowska Curie Actions (MSCA) early stage researcher. As a MSCA fellow, she was a visiting scholar at the iCub facility (Italian Institute of Technology)and the Institute of Perception, Action and Behaviour (University of Edinburgh). She is passionate about deploying algorithms to control the dynamic behaviour of robots with the goal of moving closer to robots that can adapt in real-world environments. Her research interests lie within the intersection of robot learning and control, focusing on generalisation and safe human-robot collaboration. She is broadly interested in the following topics: statistical learning for dynamical and control systems, physics-constrained learning, safe human-robot collaboration, robot vision for laboratory environments and contact-based robot skill learning with failure recovery.

Personal Website: https://gabriellapizzuto.github.io/