Our research
We unite researchers from The University of Manchester and the University of Cambridge to train the next generation of AI experts in developing and deploying machine learning models that handle uncertainty in complex systems.
Primary research areas
Initially, we engage with three key research fields, exploring diverse scientific questions through AI:
- Physics / astronomy
- Engineering biology
- Materials science
Core research themes
We focus on three core themes to develop new fundamental AI capabilities in a variety of complex systems:
- Uncertainty in complex systems
- Decision-making with humans in the loop
- Decision-making for machine learning systems
Research projects
Discover how our first-year researchers are tackling real-world challenges using AI — from microbial biosystems and particle physics to astronomy and industrial optimisation. These projects highlight the CDT’s mission to advance decision making in complex systems across science, engineering and industry.