Federico Vaggi's work experience includes a role as a Machine Learning Lead / Senior Staff Scientist at X, the moonshot factory, where they work on large language models, optimization, and computational modeling. Prior to this, they worked at Amazon as a Principal Applied Scientist and Senior Applied Scientist, focusing on machine learning, data science, causal inference, probabilistic neural networks, and Bayesian counterfactual forecasting. Federico also has experience as a Postdoctoral Researcher at École normale supérieure and The Microsoft Research - University of Trento Centre for Computational Systems Biology, where they conducted research on mathematical modeling, network theory, and optimization in biological systems. Additionally, they worked as a Researcher at Fondazione Edmund Mach, focusing on computational biology and using high-performance computing techniques for global optimization and scientific community analysis. Federico began their career as a Graduate Student at IFOM, where their PhD research focused on actin dynamics and the effect of Eps8 in different cell lines.
Federico Vaggi began their education journey in 2000 when they enrolled at Imperial College, London. Federico pursued a Bachelor of Science (B.Sc.) in Physics and completed their studies in 2003. In 2004, they continued their academic pursuits and attended the University of Milano, Bicocca, where they earned a Master of Science (MS) in Bioinformatics in 2005.
Subsequently, Federico Vaggi decided to further deepen their knowledge and skills in the field of Molecular Biology. From 2005 to 2010, they enrolled at the University of Milan to pursue a Doctor of Philosophy (PhD) in Molecular Biology, successfully completing their doctoral studies in this field.
In terms of earlier education, no specific information is provided about Federico Vaggi's years before attending Imperial College, London. However, it is mentioned that they attended the Singapore American School, although no specific time frame or academic degree is associated with this educational experience.
January, 2021 - present