Filippo Gatti
Maître De Conférences at CentraleSupélec
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolFilippo Gatti is a Maître de Conférences at CentraleSupélec with a decade of experience bridging computational mechanics, seismic engineering and machine learning to model large-scale earthquake scenarios and quantify uncertainties. He earned a PhD jointly from CentraleSupélec and Politecnico di Milano and has held research positions at Tokyo and Kyoto, reflecting a strong international footprint in computational earthquake engineering. His work combines numerical simulation, geotechnical insight and deep learning methods, applied to both academic research and experimental studies such as centrifuge modeling and underground-structure response. Based in Paris, he maintains an active scholarly profile (Google Scholar) and brings practical engineering rigor—evident from top grades and industry-focused MSc work—into advanced simulation and data-driven approaches.
10 years of coding experience
3 years of employment as a software developer
High School Degree, Liceo Scientifico, 100/100, High School Degree, Liceo Scientifico, 100/100 at Liceo Scientifico Galileo GalileiDoctor of Philosophy - PhD, Civil Engineering, Doctor of Philosophy - PhD, Civil Engineering at Université Paris-SaclayGeotechnical Earthquake Engineering, Geotechnical Earthquake Engineering at Aristoteleion Panepistimion ThessalonikisErasmus Student, MSc Civil Engineering, Erasmus Student, MSc Civil Engineering at Luleå tekniska universitetMaster of Science (MSc), Geotechnical Engineering, 110/110 cum laude, Master of Science (MSc), Geotechnical Engineering, 110/110 cum laude at Politecnico di Milano
Italian, English, French, portoghese (br)
Stackoverflow
11reputation
139reached
0answers
1question
Github Skills (46)
qgis9
wps9
gis9
spatial9
gml8
shapefile8
coupling8
system-information8
wms8
gdal8
wcs8
data-management8
geotools8
simulation8
openstreetmap8
Programming languages (4)
Github contributions (5)
FilLTP89/RIKsrf
Oct 2018 - Apr 2023
Contributions:11 pushes, 1 branch in 4 years 6 months
FilLTP89/SeismoALICE
Jul 2020 - Sep 2023
Adversarially Learned Inference (ALI) + Conditional Entropy (CE) for seismic signal prediction
Contributions:49 pushes, 11 branches in 3 years 2 months
signalentropypredictiondeep-learninglearned
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