Involved in multiple research projects including Mixture of Pathways, seRNN, Maze, and NeuroAI. Research publications can be found on his Google Scholar profile.
Research Experience
Career Development Research Fellow (CDRF) at St John's College, University of Oxford, researching the organization of the brain, its specialized submodules, circuit patterns, and communication and coordination between different regions. Developing novel algorithms and designing specialized computing circuits, working from theoretical models to hardware system prototypes.
Education
PhD from the University of Cambridge, supervised by John Duncan and Matthew Botvinick, in collaboration with Google DeepMind and Intel Labs. Funded by the Bill & Melinda Gates Foundation through a Gates Cambridge Scholarship.
Background
Neuroscience and AI Researcher, studying how the brain's system-level architecture enables flexible cognition and how it can be translated into large-scale computing systems.
Miscellany
Runs a startup with Dan Akarca, translating neuroscience-inspired computing principles into practical technologies. Welcomes contact from researchers, students, and organizations interested in his work or computational neuroscience in general for outreach activities.