I am a third year Ph.D. student at Imperial College London, advised by Prof. Andrew Davison.
Previously, I completed my undergraduate and Masters in Physics at the University of Oxford.
My work is in computer vision and machine learning and specifically I work on building efficient scene understanding systems for robotics using graph-based algorithms. I'm also very interested in distributed training of deep networks, cellular automata and neural implicit representations.
I'll be interning at Facebook AI Research with Mustafa Mukadam
iMAP accepted to ICCV!
Check out our new distill style interactive introduction to GBP here
Attended CVPR 2020 virtual conference.
Check out these
interactive animations of Gaussian belief propagation to help get more of an intuition for the inference algorithm!
Attended International Computer Vision Summer School (ICVSS) in Sicily.
Beginning a 3 months research as a visiting student as MIT CSAIL with the ALFA
Recieved the prize for best Masters Project in Astrophysics at Oxford for my research in Gravitational Wave Astronomy [pdf]
Incremental Abstraction in Distributed Probabilistic SLAM Graphs
arXiv preprint 2021
iMAP: Implicit Mapping and Positioning in Real-Time
A visual introduction to Gaussian Belief Propagation
Self published / arXiv 2021
Bundle Adjustment on a Graph Processor
FutureMapping 2: Gaussian Belief Propagation for Spatial AI