Tani Angiero is a predoctoral researcher in the Experimental Aerodynamics and Propulsion group of the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M). She is part of the European HumanIC network. Her academic background includes a Bachelor's degree from the University of Naples Federico II (Italy) and a Master's degree in Aerospace Engineering from Politecnico di Torino (Italy), reflecting a strong foundation in engineering principles. Her research within the HumanIC project lies at the forefront of innovation, combining experimental fluid dynamics with machine learning techniques. Her main goal is to develop real-time, low-order flow models specifically applied to surgical environments. This innovative line of work aims to optimize indoor climate conditions in healthcare facilities, thereby enhancing the well-being of both patients and medical staff.