Branton is a DPhil student with A2I, GOALS, and FLAIR. He is interested in the nature of emergence, which he studies using tools from algorithmic information theory and machine learning, amongst others. Originally trained in physics and mathematics, he has worked on research projects in knot theory, neutrino physics, condensed matter theory, geophysics, and reinforcement learning for robotics.
In addition to his academic research, Branton has been involved in a number of machine learning startups, including one he started which used language models to accelerate literature reviews. He hopes to build biological computers at the edge of Landauer's limit one day.
His personal website can be found here.
