Francesco Cerigioni
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Short Curriculum Vitae

Experienced decision and data scientist with a strong foundation in cognitive biases, behavioral modeling, and machine learning. Skilled in leveraging advanced mathematical techniques to uncover patterns, predict behavior, and drive data-informed decisions. Proven ability to design innovative algorithms, optimize processes, and lead cross-functional teams to deliver impactful solutions. Passionate about bridging the gap between theoretical insights and practical applications to address complex business challenges and foster strategic growth.
Professional Experience
Senior Staff Machine Learning Modeling Lead
Buynomics. 2025-Present


Data Science Modeling Lead
Buynomics. 2024-2025

Senior Data Scientist
Buynomics. 2024

Data Scientist
Buynomics. 2023-2024


Assistant Professor of Economics
Universitat Pompeu Fabra. 2016-2023


Awards
Juan de la Cierva Incorporacion
Minstry of Science and Innovation Spain. 2022 - 2023

Recognition Programme
Barcelona School of Economics, Spain. 2022

Enrique Fuentes Quintana Prize for Best Ph.D. Thesis in Social Sciences.
Funcas, Spain. 2015-2016


Graduate Education
Ph.D. in Economics Cum Laude
Universitat Autònoma de Barcelona. 2012-2016.  
Advisor: Miguel Ballester
Mentors: Itzhak Gilboa, Kfir Eliaz and Ariel Rubinstein.

M.A. in Economics
Universitat Autònoma de Barcelona. 2010-2012.

M.Sc. in Economics
Barcelona Graduate School of Economics. 2009-2010.



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