Our Team

Benjamin has a masters in Computer Science and applied ML to quant finance previously.

Research interests: test-time computation, active inference, system2 reasoning, framing problem, tokenisation, probablistic programming, search/self-play, music-generation

Jack is an AI Researcher with a multi-disciplinary background in technology business and holds a PhD in Clinical Psychology.

Research Interests: test-time training, integration of psychology research principles into deep learning, meta-learning, models of meta-cognition, mitigation of transformer model weaknesses, bio-inspired improvements to deep learning, and active learning.

Michael studied computer science / applied probability & statistics and previously worked as a quant engineer/researcher and as a programmer on various AI/ML projects.

Research interests: deep learning, abstraction/generalization, sample-efficient learning, synthetic data, program synthesis, search

Mohamed has four years of work experience in developing deep learning models and multiple successful real-world deployments under his belt.

Research interests: Meta Learning, reasoning, test-time learning, active inference, few-shot learning, data scarcity