Lorenzo Corgnati - Research Associate

Lorenzo Corgnati

Research Associate

Turin, Piedmont, Italy

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Summary

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Senior

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Top School

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.

9 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

English, German

Stackoverflow

Stats

1reputation

64reached

0answers

1question

Github Skills (26)

radial7

anaconda6

modsecurity6

ide6

waf6

nginx5

ocean5

tabular5

language-server-protocol5

python5

qt5

logging4

iis4

apache3

programming-language3

Programming languages (5)

JavaRC++Jupyter NotebookPython

Github contributions (5)

LorenzoCorgnati/HFR_Node__SDC_Processing

Sep 2019 - Dec 2023

Contributions:2 releases, 26 pushes, 1 branch in 4 years 3 months

LorenzoCorgnati/EU_HFR_Node__WebForm

Sep 2019 - Dec 2023

Contributions:6 releases, 19 pushes, 2 branches in 4 years 3 months

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