BEGIN:VCALENDAR
X-WR-TIMEZONE:Europe/LondonVERSION:2.0
PRODID:-//University of Liverpool//University Events//EN
BEGIN:VEVENT
UID:20260521T114121-108996-UniversityOfLiverpool
DTSTAMP:20260521T114121
DTSTART:20250212T130000
DTEND:20250212T140000
LOCATION:Lecture room 106, Campus map reference: C8/233, L69 3GQ, Brodie Tower, Brownlow Street, Liverpool, UK, L69 3GQ
SUMMARY:Women in Technology (WiT) Lecture Series: Transforming Lab Automation With Intelligent Robotic Scientists
DESCRIPTION:Guest Speaker:  Dr Gabriella PizzutoAbstract: The urgent need for new materials to address global challenges demands a revolutionary shift in autonomous scientific discovery. Deploying intelligent robotic systems in human labs is key to achieve this; yet, there remains an open gap in having robots carry out laboratory tasks beyond pre-programmed instructions. The full potential of 'robot scientists' has not yet been realised in automating a wide range of different experiments that would allow human scientists to pursue high-level innovation. I will detail our ongoing work developing and deploying intelligent robotic systems in Chemistry labs, showcasing their capabilities and the transformative impact they can have on materials discovery. Finally, I will share insights into the challenges and lessons learned from this multidisciplinary endeavour.Biography: Dr Gabriella Pizzuto is a Lecturer in Robotics and Chemistry Automation and a Royal Academy of Engineering Research Fellow at the University of Liverpool, and a Research Area Lead for Chemical Materials Design at the Henry Royce Institute. She obtained her Ph.D. in Computer Science from the University of Manchester, where she was also a Marie-Sklodowska Curie early-stage researcher and a visiting scholar at the University of Edinburgh and Italian Institute of Technology. She was then a postdoctoral research associate at the Edinburgh Centre for Robotics, prior to joining the University of Liverpool as the lead research associate on the ERC Synergy Grant ‘Autonomous Discovery of Advanced Materials’ (ADAM) in the Cooper group. Gabriella leads a group developing and deploying learning-based methods for upskilling robotic scientists towards accelerating materials discovery. Her research interests lie within the intersection of robotics and applied machine learning. 
END:VEVENT
END:VCALENDAR