Alec Sargood

I am an Applied Mathematician and AI Researcher currently pursuing my PhD in Computer Science at University College London (UCL) within the Hawkes Institute.

My current research focuses on the theory of generative models and computer vision, with applications in medical imaging, data generation tasks, and inverse problems. Much of this work centres on diffusion and flow models, both in understanding their underlying dynamics and in adapting them to settings where high-quality data is scarce.

Open to collaboration: I am always keen to explore research collaborations in flow and generative models (both theoretical and practical), image and data synthesis, and general medical image problems. More recently, I have become interested in RL and SDE-based guidance techniques for the above, particularly controllable generation — steering text-to-image models, guiding data synthesis towards desired properties, and maximising rewards at inference time. Feel free to reach out!

Prior to my PhD, I completed an MRes at the University of Cambridge, an MSc in Mathematical Modelling and Scientific Computing from the University of Oxford, and a BSc in Mathematics from the University of Exeter.