Project

Applied Biological Data Science

How could we build cutting-edge Artificial Intelligence tools to translate biological data into scientific insights and ultimately to guide medical decision-making?

Platform

Advanced Research Computing

The Franklin develops state of the art digital infrastructure to enable cutting edge research. Our interdisciplinary research generates a variety of data structures and sizes that all need to be stored, curated and processed to give data driven insights.

Technology Innovation Challenge

Artificial Intelligence and Informatics for Predictive Biology

Our aim: To embed data management and science into all of our research groups to best use AI and machine learning to drive life sciences research and create new research tools.