Laura M. Ferrari
About Laura M. Ferrari
Laura M. Ferrari is a Postdoctoral Researcher at Inria in Provence-Alpes-Côte d'Azur, France, specializing in biomedical engineering and emotion recognition technologies. She has a diverse background in research and education, with experience at several prestigious institutions and a focus on developing innovative solutions for stress identification in autism.
Work at Inria
Laura M. Ferrari has been working at Inria as a Postdoctoral Researcher since 2020. Her research is part of a funded fellowship program and is conducted in Provence-Alpes-Côte d'Azur, France. Her current work involves developing a tattoo-based platform aimed at emotion codification, with a specific focus on identifying stress in individuals with autism.
Education and Expertise
Laura M. Ferrari has a strong educational background in biomedical engineering and industrial engineering. She earned her Doctor of Philosophy (PhD) in Biorobotics from Scuola Superiore Sant'Anna between 2015 and 2018. Prior to that, she obtained a Master's Degree in Industrial Engineering from Università di Pisa from 2011 to 2014, and a Bachelor's Degree in the same field from 2007 to 2011.
Background
Laura M. Ferrari has held various research positions prior to her current role at Inria. She worked as a Research Fellow at Istituto Italiano di Tecnologia for four months in 2018, and as a Scientific Researcher at Ospedale San Raffaele for four months in 2020. Additionally, she served as a PhD visiting student at École des Mines de Saint-Étienne from 2017 to 2018 and completed her PhD fellowship at Istituto Italiano di Tecnologia from 2015 to 2018.
Professional Experience
Laura M. Ferrari has accumulated diverse professional experience. She worked as a Scientific Advisor at Umana Medical Technologies in Malta from 2017 to 2019. Her early research experience includes a position at the University of Pisa as an MSc student in Biomedical Engineering from 2011 to 2015. She has also collaborated with Lenval Hospital in Nice on projects related to multimodal emotion recognition and has worked with MED-EL, a company recognized for its innovations in medical technology.