Experimental Artificial Intelligence
The Franklin collects a significant amount of experimental data every year and it is paramount to the scientific process that the data collected is the best it can be.
Artificial Intelligence tools and methodologies are employed at the Franklin to address this challenge, from effectively choosing the experiments to be undertaken, through to efficiently evaluating the data once collection is complete. Writing and developing software allows us to streamline and automate much of this complex process, which has the impact of massively reducing the time taken to discover new science, introducing new avenues for exploration or development.
Scientists associated
Dr Mark Basham
Science Director and Challenge Lead
Dr Laura Shemilt
Deputy Challenge Lead and Head of Research Software Engineering
Dr Michele Darrow
Challenge Lead and Head of Data Strategy for CryoImaging
Dr Alex Lubbock
Senior Research Software Engineer
Laura Crawford
Research Software Engineer
Dr Dimitrios Bellos
Research Software Engineer
Dr Elaine Ho
Research Software Engineer