Alessandra Galli received the B.Sc. and M.Sc. degrees in Biomedical Engineering from the University of Padova, Padua, Italy, in 2015 and 2017, respectively. In 2021, she received the Ph.D. degree in Information and Communication Technology from the School of Information Engineering of the University of Padova, with a dissertation about IoT measurements for long-term monitoring applications. In 2019-2020, she was a visiting research scholar at the Signal Processing Group of Eindhoven University of Technology, Eindhoven, The Netherlands. Since 2021, she has been a Post-Doc researcher of the Instrumentation and Measurements Group of the University of Padova, Italy. Her research interests include biomedical signal processing, compression and anomaly detection, machine learning, and the development of algorithms for wireless body sensor networks.