Decoding
Intelligence.
Bridging biological neuroscience and artificial intelligence.
Constructing the next generation of world models.
Research Areas
Fundamental research at the intersection of biology and computation.
Neuroscience & Plasticity
Reverse-engineering biological synaptic mechanisms to engineer systems capable of lifelong, continual learning without forgetting.
Generative World Models
Learning compressed spatio-temporal representations of the physical world to enable long-term reasoning, planning, and simulation.
Deep Reinforcement Learning
Pushing the frontiers of agency, exploration, and credit assignment to master complex, non-stationary environments.
Formal Reasoning
Leveraging intuition-based search to navigate high-dimensional mathematical landscapes and formalize novel conjectures.
Statement of Purpose
Solving intelligence to advance science and benefit humanity.
We believe that understanding the biological brain is key to unlocking artificial intelligence. By reverse-engineering neural algorithms, we build systems that are adaptable, robust, and aligned.
Our research is open, collaborative, and driven by curiosity about the nature of thought itself.
Long-term Horizons
We prioritize fundamental research with generational impact over short-term commercial gains.
Join us in shaping the future
We are always looking for exceptional talent to join our team in London.
View Open Roles