Fábio Cruz is a Physics and Machine Learning (ML) Researcher at Inductiva Research Labs, where he develops ML-based algorithms to accelerate simulations in computational fluid dynamics. He obtained his MSc in Physics Engineering (2015) and PhD in Physics (2021) from Instituto Superior Técnico, Lisbon, Portugal. In his PhD, he studied the dynamics of plasma and the emission of coherent radiation in pulsar magnetospheres resorting to theoretical models and massively parallel multi-physics, multi-scale simulations. In 2018, he was also a visiting researcher at Princeton University. Fábio was also awarded a Young Scientists Prize from the Calouste Gulbenkian Foundation in 2016. His research interests include the interplay between small and large scale phenomena in fluid and plasma dynamics and the combination of classical and ML-based simulations to tackle multi-scale problems. Fábio is also interested in scientific visualization for efficient interpretation of large amounts of data and for science communication. He has co-authored a Python package for processing and visualization of state-of-the-art plasma simulation code outputs, and co-organized a science outreach project to build advanced virtual reality representations of complex simulation data.