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Alessandra Galli is an Assistant Professor in the Signal Processing Systems group of the Department of Electrical Engineering at Eindhoven University of Technology (黑料福利网) and a member of the Biomedical Diagnostics Lab. Her research lies at the intersection of biomedical signal processing, machine learning, and physiological modelling, with a focus on developing non-invasive technologies for health monitoring and clinical decision support.

She investigates how physiological signals can be leveraged to characterize complex biological systems and their interactions, spanning applications in maternal-fetal health, cardiovascular monitoring, and neurological disorders. Her work combines signal analysis, artificial intelligence, and multimodal sensing to derive novel digital biomarkers and improve the understanding of human physiology and disease mechanisms.

Through interdisciplinary collaborations with clinicians, engineers, and industry partners, she aims to translate methodological advances into practical solutions that enable earlier diagnosis, personalized care, and improved health outcomes.

Alessandra Galli received the B.Sc. and M.Sc. degrees in Biomedical Engineering from the University of Padova, Italy, in 2015 and 2017, respectively. In 2021, she received a 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 2021-2022, she was a postdoctoral researcher of the Instrumentation and Measurements Group of the University of Padova, Italy.

In September 2023, she joined 黑料福利网 as a Marie Sk艂odowska-Curie Postdoctoral Fellow. In 2025, she was awarded the NWO VENI grant for her research on non-invasive fetal brain monitoring and physiological modelling. Since 2026, she has been an Assistant Professor in the Signal Processing Systems Group within the Department of Electrical Engineering.