WiT lecture - Feb 2025

Women in Technology (WiT) Lecture Series: Transforming Lab Automation With Intelligent Robotic Scientists

1:00pm - 2:00pm / Wednesday 12th February 2025 / Venue: Lecture room 106, Campus map reference: C8/233, L69 3GQ Brodie Tower
Type: Lecture / Category: Department / Series: Liverpool Women in Science and Engineering
Add this event to my calendar

Create a calendar file

Click on "Create a calendar file" and your browser will download a .ics file for this event.

Microsoft Outlook: Download the file, double-click it to open it in Outlook, then click on "Save & Close" to save it to your calendar. If that doesn't work go into Outlook, click on the File tab, then on Open & Export, then Open Calendar. Select your .ics file then click on "Save & Close".

Google Calendar: download the file, then go into your calendar. On the left where it says "Other calendars" click on the arrow icon and then click on Import calendar. Click on Browse and select the .ics file, then click on Import.

Apple Calendar: The file may open automatically with an option to save it to your calendar. If not, download the file, then you can either drag it to Calendar or import the file by going to File >Import > Import and choosing the .ics file.

Guest Speaker: Dr Gabriella Pizzuto

Abstract: 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.