How is AI Accelerating Science?

Moe is Co-Lead of Womb2World, an ai@cam initiative exploring innovative methods to improve fertility and IVF outcomes using computational techniques. He is currently a PhD candidate in Physics, where his focus is on developing spectroscopy and machine learning tools for clinical applications

Dr Anna Breger has merged her background and passion for mathematical image analysis and early music in her recent research project "AI meets cultural heritage: Non-invasive imaging and machine learning techniques for the reconstruction of degraded historical sheet music.The aim of the project is the recovery of damaged early musical sources that suffer from illegible music notation. This is achieved through a combination of advanced imaging techniques to reconstruct the lost notation in collaboration with musicologists.

I am the Principal AI Research Engineer on the Zenith supercomputer at Cambridge. Previously, I was the lead machine learning engineer with the Accelerate Programme for Scientific Discovery. I am interested in driving forward scientific research which is grounded in excellent software engineering and machine learning fundamentals. Before working at Accelerate, my research interests explored unconventional approaches to computing using complex physical devices from the world of condensed matter physics. Now I mostly work on language model service infrastructure.

Sadiq is an Assistant Research Professor in the Energy and Environment Group in the Department of Computer Science and Technology, Cambridge, and the Bernstein Planetary Computing Fellow in the Cambridge Centre for Earth Observation. His work involves projects that apply AI/ML to pressing problems in Nature and Climate.