Abi is a machine-learning scientist who turns chaos into pattern. His research in multimodal and graph AI explores how connected data - transactions, conversations, behaviours - reveals cause and effect.
At RabbitHawk, Abi gives forecasting purpose: not just predicting what might happen, but mapping how to get from today’s “A” to tomorrow’s “B.”
He’s the architect behind RabbitHawk’s ability to reason across structured, unstructured, and contextual data - the intelligence that connects numbers to meaning, and foresight to action.
Find his publications on Google Scholar
