Giovanni Petri is a Professor at the Network Science Institute, Northeastern University London. With a broad background in theoretical physics and applied mathematics, he has successfully applied his expertise to address various research areas, including network science and higher-order systems, dynamical processes, with a particular focus on neuroimaging, computational neuroscience, and, more recently, artificial intelligence. Alongside these core topics, his research also encompasses the study of group dynamics in social systems, novel methods for parsimonious feature selection, and information-theoretic limits to predicting complex systems. He has collaborated with researchers from diverse disciplines, including mathematicians, physiologists, psychologists, network neuroscientists, epidemiologists, and computer scientists. Giovanni Petri has authored over 50 peer-reviewed articles in high-impact interdisciplinary journals such as Science, Nature Physics, Physical Review Letters, Nature Communications, Neuroimage, and the Journal of Neuroscience. Major contributions include a review and a perspective on higher-order systems, the topological functional structure of altered brain states, a temporal model of simplicial interactions to describe the effects of group interactions in social spreading processes, a graph-theoretic approach to cognitive control to multitasking capacity, and the discovery of the evolutionarily conserved role of oxytocin for social contagion. He guest-edited a special issue of "Network Neuroscience" dedicated to topological applications in brain networks (in collaboration with Prof. M. Kringelbach and Dr. Paul Expert) and co-edited the book "Higher-order Systems" (with Prof. F. Battiston) for the Springer Nature series "Understanding Complex Systems".