PhD candidate in Statistics, Carnegie Mellon University
Riccardo Fogliato is a PhD candidate in Statistics at Carnegie Mellon University. His research focuses on the impact of technology on societal outcomes. By leveraging statistical machine learning methods, he has investigated how decision-making in the presence of algorithmic tools is affected by biases in data collection and human judgment. Riccardo is also an enthusiastic runner and has written about predictive analytics in Ultra-Trail du Mont-Blanc, the world's most renown trail running race. Currently, he is collaborating with the platform UltraSignup to update their ranking index.