Summary
Gilbert Peffer is a Senior GenAI ML Expert and multidisciplinary researcher with over two decades of R&D leadership spanning computational engineering, agent-based simulation, and financial systemic risk. His career weaves academic rigor—from Oxford numerical methods to philosophy studies—with hands-on front-office quant experience at Salomon Brothers and Citi, giving him a rare blend of mathematical depth and market intuition. At CIMNE he led diverse projects across learning technologies, flood-risk DSS, and construction digitalisation, often building multi-agent models to turn complex socio-technical problems into actionable decision support. More recently he has moved into AI-driven product and innovation roles—co-founding Kubify, serving as CIO at Fregata Space, and now focusing on GenAI/ML in biotech—while mentoring and investing in startups. Known for combining theoretical curiosity with practical delivery, he often bridges disciplines (e.g., emotion-regulation research applied to financial decision-making) to create novel, impact-oriented solutions. Based in Barcelona, he brings an investor-advisor mindset to technical leadership, spotting commercial pathways for research innovations.
12 years of coding experience
27 years of employment as a software developer
Diplôme de fin d'études secondaires générales, Electrical installations and electronics (vocational training), Diplôme de fin d'études secondaires générales, Electrical installations and electronics (vocational training) at Lycée Technique d'Ettelbrück
Mathematics and Computing, Mathematics and Computing at University of Oxford
Master of Engineering - MEng, Aeronautical and Aerospace Engineering, Master of Engineering - MEng, Aeronautical and Aerospace Engineering at University of Stuttgart
Diploma de Estudios Avanzados (Administración y Dirección de Empresas), Diploma de Estudios Avanzados (Administración y Dirección de Empresas) at Universitat de Barcelona
Philosophy, Philosophy at FernUniversität in Hagen
German, English, Spanish, Luxembourgish, French, Catalan