Daniele Conti is a Senior Data Scientist at Enel Group, specializing in forecasting projects that have led to a 5% reduction in forecasting errors for energy consumption, significantly enhancing operational efficiency. Prior to this role, Daniele served as a Postdoctoral Researcher in Theoretical Neuroscience at École Normale Supérieure, focusing on Bayesian inference and stochastic dynamics, which resulted in presentations at international conferences and publications. Daniele completed a PhD in Statistical Physics and Biophysics at Sapienza Università di Roma, where notable research included the analysis of collective dynamics in biological systems, leading to contributions in distinguished journals. Daniele holds a Master of Science and a Bachelor of Science in Theoretical and General Physics from Sapienza Università di Roma.
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