Cohort research projects

Our first-year researchers have completed a diverse and impactful range of projects, applying AI methods to real-world challenges in science, engineering, and industry. These projects span domains such as biosystems, physics, astronomy, and optimisation — showcasing the CDT’s focus on AI for decision making in complex systems.

Project titles

(Academic Year 2024/25)

• Artificial intelligence for the Discovery and Engineering of Microbial Biosynthetic Gene Clusters
  • Researcher: Hanlin Xiao
  • Supervisory Team: Mauricio Álvarez, Eriko Takano.
• Using Deep Probabilistic Machine Learning to Understand Cellular Decision-Making
  • Researcher: Mingxin Shen
  • Supervisory team: Mauricio Alvarez Lopez, Magnus Rattray.
• Holistic ML-guided Design for the High-throughput Optimisation of Biologics
  • Researcher: Michael Dodds 
  • Supervisory team: Henry Moss (University of Lancaster), Mauricio Alvarez Lopez, Carl Henrik Ek.
• Searching for New Physics with Neutrinos in a Novel Pixel Detector
  • Researcher: Mohammed Sultan
  • Supervisory Team: Roxanne Guenette, Elena Gramellini.
• Explainability of Deep Learning Models: The Concept Learning Approach
  • Researcher: Oscar Hill
  • Supervisory team: Mateja Jamnik (University of Cambridge), Mauricio Alvarez Lopez.
• New AI Applications to Large Astronomical Data Sets
  • Researcher: Kyle Madgwick
  • Supervisory Team: Christopher Conselice, Anna Scaife.
• Understanding the Training of Neural Nets to Solve PDEs
  • Researcher: Sebastien Andre- Sloan
  • Supervisory team: Anirbit Mukherjee, Alex Frangi.
• Relationship Between Conformal Prediction and Credal Probabilistic Reasoning
  • Researcher: Fanyi Wu
  • Supervisory team: Michele Caprio, Samuel Kaski.
• Combinatorial Optimization on Graphs for Science Operations in Radio Astronomy
  • Researcher: Joan Font-Quer Roset
  • Supervisory team: Anna Scaife, Mingfei Sun, Julia Handl.
• Generative Modelling for Engineering Design
  • Researcher: Jacob Cummins
  • Supervisory team: Wei Pan, Mingfei Sun, Alex Skillen.
• AI-powered Heuristics for Industrial Mathematical Optimization
  • Researcher: Guorui Quan
  • Supervisory team: Manuel López-Ibáñez, Mingfei Sun, Silvino Fernandez Alzueta.
• AI for Decision Making in Fusion Energy
  • Alexander Higginbottom
  • Supervisory team: Lee Margetts, Hujun Yin.