Marco is an applied mathematician with training in theoretical physics and dynamical systems, which many people might know because of a subarea called chaos theory. He is full professor at the University of Aberdeen
(UK). Apart from some more theoretical work in mathematics, his main area of work is mathematical modeling. He uses mathematical structures and patterns to describe a large variety of systems. Some of the applications he has worked on so far are Alzheimer’s disease, epilepsy, traffic modeling, studying the stability of our solar system, modeling the life cycle of a biological cell, population dynamics, the synchronisation of heartbeats of mother and foetus
, financial and forensic mathematics, voting patterns, movement of newborns, climate modeling, whiskey making, accident reconstruction, and patterns in the mating behavior of fireflies. A lot of his work involves the analysis of data, i.e. informing and testing models with data. In 2017, Marco received the Wolfram Innovator Award; he is also an instructor for the Wolfram Language. He coordinates a data science postgraduate degree program, which is taught using the Wolfram Language, at the University of Aberdeen.