Luca Insolia is a postdoctoral researcher at the University of Geneva with eight years of experience focused on robust estimation, outlier detection, high-dimensional modeling, clustering, and missing data methods. Based in Geneva, he combines rigorous academic training in economics and trade marketing from Italian universities with a quantitative research agenda that bridges statistical methodology and applied data problems. His work emphasizes practical robustness—designing techniques that perform under contamination and incomplete observations—making it particularly relevant for real-world datasets. Though primarily research-focused, his background in business and commercial strategy gives him a pragmatic perspective on translating complex models into actionable insights.
8 years of coding experience
Laurea Magistrale LM, Trade Marketing e Strategie Commerciali, Laurea Magistrale LM, Trade Marketing e Strategie Commerciali at Università degli Studi di Parma
Laurea triennale, Economia Aziendale, 99/110, Laurea triennale, Economia Aziendale, 99/110 at Università di Catania
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Luca Insolia - Postdoctoral Researcher at University of Geneva