Summary
Alistair Foggin is a PhD researcher in Computer Vision at the University of York with nine years of practical experience applying neural scene representations to real-world problems. His current research develops Dynamic 3D Gaussian Splatting techniques to reconstruct changing environments from sparse photo sets, with a motivating focus on monitoring glacier change under varying lighting, sparsity, and complex ice dynamics. He has bridged academic and applied work through AI-driven virtual production research, VR teleoperation interfaces, and medical data integration in app development roles. Comfortable moving between research, teaching, and hands-on engineering, he has taught probabilistic and deep learning practicals while winning recognition for VR teleoperation work. He brings a strong physics-math background to visual computing problems and an unusual practical emphasis on capturing both gradual and abrupt environmental change.
9 years of coding experience
2 years of employment as a software developer
A Levels, Mathematics, Further Mathematics, Physics (AS), A Levels, Mathematics, Further Mathematics, Physics (AS) at Greene's Tutorial College, Oxford
Bachelor of Science - BSc, Computer Science, Bachelor of Science - BSc, Computer Science at University of York
A Level, Computer Science, A Level, Computer Science at Pembrokeshire College
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of York - Computer Science
English, Chinese, Russian