Alex Rast has always passionately loved chocolate, but his serious interest began in 1990. Frustrated with the quality then available at retail, he conducted a series of experiments to make chocolate, systematically working out formulae and techniques. Eventual success convinced him that, while excellent, the finished chocolate simply did not justify the effort required on a non-commercial scale, and refocussed his efforts on exploring and tasting artisanally-produced plain and milk chocolate. Some early consultations for various chocolate companies broadened his contacts, and, in 2003, he started collaborating with Seventy% in reviewing chocolate. His collaboration with Seventy% continues to this day, and he also consults on an occasional basis for chocolate manufacturers. His full-time occupation involves architecture and design of neural hardware systems at the University of Manchester. He is a research associate in Prof. Steve Furber’s SpiNNaker group doing advanced research into neural network chips. Recently, using this work as a background, he has begun to explore neural models for chocolate taste perception, a project he is doing in partnership with SeventyPercent. The goal is to generate a systematic, human-sensory-based system for mapping and describing chocolate flavour from bean to bar.