Mark is a chemical engineer who spent four years as a doctoral researcher (EngD) in the UK figuring out how to simulate coffee roasting in-silico, creating a digital twin of a coffee roaster. The data-driven approach meant a lot of roasting, analysis of the process and product and coding up of simulations to predict how different green coffees, in different roasters with different process conditions, transform during roasting. Mark also operates a nomadic roastery under the pseudonym 'dialect' - a name befitting for his engineering approach to coffee and his efforts to challenge the complexities entrained in the industry.
In this episode we talk with mark about how as a chemical engineer he ended up also in professional coffee work, how his expertise has shaped his own approach to roasting, and a look into the experiments he has been running to explore the variables of coffee roasting in a quest to simplify the overly complex.
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