Giorgio De Donno graduated in 2007 in Environmental Engineering at the "Sapienza" University of Rome. In 2012, he defended a PhD thesis in Environmental Engineering - Applied Geophysics, at the "Sapienza" University of Rome, entitled "Complex Resistivity and Spectral Induced Polarization techniques for environmental applications".

He is currently Associate Professor in Applied Goephysics (SSD GEO/11) at the Department of Civil, Constructional and Environmental Engineering of “Sapienza”, where he was employed as Researcher and Lecturer (2019-22),  and Postdoctoral Researcher (2012-17).

Since 2017, he has been the instructor at Sapienza for the courses “Environmental Geophysics” (formerly Geofisica Ambientale) (9 ECTS) M.Sc. in Environmental  Engineering, and “Geophysics for Environmental Risks” (formerly Geofisica applicata all'Ingegneria) (6 ECTS) - M.Sc. in Green Industrial Engineering for Sustainable Development (Latina campus). Since A.Y. 2024–25, he has also been co-instructor of the courses “Geophysics for Engineering” (3 ECTS credits) and “Engineering Geophysics” within the B.Sc. programmes  in Sustainable Building Engineering and Environmental and Sustainable Building Engineering (Rieti campus).

He is Associate Editor of the international journal "Near Surface Geophysics", member of several international scientific associations (SEG, IEEE, EAGE, EGU) and the Italian scientific group GNGTS as well as reviewer for numerous international journals in the field, including Geophysics, Journal of Geophysical Research, Geophysical Journal International, Geophysical Prospecting, and Journal of Applied Geophysics.

Since 2007, he has participated in national and international research projects concerning the application of geophysical techniques for the mapping and monitoring of landfills and contaminated sites, natural resource assessment, diagnostics of civil infrastructures (dams, airports, tunnels, etc.), glacier monitoring, archaeological prospection, cultural heritage monitoring, seismic microzonation, mapping of sinkhole-prone areas, and detection of anthropogenic cavities.