Summary
Nicolas Guetta-jeanrenaud is a Data Scientist with eight years of experience applying machine learning and advanced analytics to politics, policy, and personalization at institutions including Spotify, MIT, NYU and The Future Society. Trained as an engineer at MINES ParisTech with an MIT Technology & Policy master's, he blends rigorous quantitative methods, NLP and social-media-based computational social science to inform decision-making on climate, public health and political outcomes. At The Future Society he contributed to national AI strategy design and ethical governance frameworks, and at MIT developed ML classifiers for topic and sentiment analysis used in policy-relevant research. Now focused on personalization and algorithmic responsibility at Spotify, he brings both product-oriented experimentation and a policy-aware perspective to mitigate harms from deployed systems. An uncommon strength is his track record of moving between government, academia and industry—translating technical research into practical governance and operational solutions.
8 years of coding experience
6 years of employment as a software developer
Master's degree, Technology & Policy (Institute for Data, Systems, & Society), Master's degree, Technology & Policy (Institute for Data, Systems, & Society) at Massachusetts Institute of Technology
Undergraduate Preparatory Classes, Mathematics and Physics (MPSI-MP), Undergraduate Preparatory Classes, Mathematics and Physics (MPSI-MP) at Lycée Henri IV
MS, Engineering (Minor in Geo-Statistics), MS, Engineering (Minor in Geo-Statistics) at MINES ParisTech