Lorenzo Corgnati is a Research Associate with eight years of experience specializing in HF radar data interoperability, remote sensing, and machine learning-driven pattern recognition for coastal and marine monitoring. He leads definition of interoperable data/metadata formats and QA/QC procedures adopted in major European projects (CMEMS, JERICO-NEXT, SeaDataCloud) and contributes to EuroGOOS HFR standards. His work spans practical real-time data management from research vessels, 3D sea-surface and underwater reconstruction, and detection of marine organisms using computer vision and signal processing. With a PhD in Electrical, Electronics and Communications Engineering and advanced coursework from Johns Hopkins, Stanford and EUMETSAT, he blends academic rigor with operational system delivery. Unexpectedly, Lorenzo also runs a production company, bringing cinematic skills in directing, editing and color correction that enhance his data visualization and communication of complex oceanographic results. Based in Turin, he is comfortable bridging multidisciplinary teams across research, software and media to turn sensor data into actionable coastal intelligence.
8 years of coding experience
10 years of employment as a software developer
Johns Hopkins University
Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering, Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering at Politecnico di Torino
Regularization Methods for High Dimensional Learning (RegML), Regularization Methods for High Dimensional Learning (RegML) at Università degli Studi di Genova
Pattern Analysis and Computer Vision (PAVIS), Pattern Analysis and Computer Vision (PAVIS) at Italian Institute of Technology IIT
Monitoring the Oceans from Space, Monitoring the Oceans from Space, Monitoring the Oceans from Space, Monitoring the Oceans from Space at EUMETSAT - Future Learn
Machine Learning, Machine Learning at Stanford University
Python3 scripts for the operational workflow of the European HFR Node. Tools for the centralized processing
Contributions:1 PR, 94 pushes, 3 branches in 2 years 1 month
pythonpython3-scriptseuropeanoperationalpython3
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.