Bio
Myles Foley is a postgraduate researcher at Imperial College London under the supervision of Dr Sergio Maffeis. Prior to this he earned a First Class (Hons) MEng at University College London in Electronic Engineering with Computer Science winning the award of "Outstanding Graduating MEng Student". During this time he completed research projects to using Reinforcement Learning for Graph based structures and Computer Vision for Advanced Driver Assistance Systems. His research interests include: continual learning, fuzz testing, Multi-Agent systems, and graph structures.
Research interests
Myles' research focuses on applying and developing Reinforcement Learning methods to solve problems in Cyber Security with the aim to demonstrate how RL can protect computer systems and the people that use them.
Whilst at the Turing Myles will be focusing on how it is possible to use Reinforcement Learning to defend networks against attackers through autonomous network defence.