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.
The trail running community has been rapidly growing over the past decade. Along with it, a vast amount of data is being collected. Data availability has the potential to support monitoring and evaluation of runners' performance at scale, two activities that have traditionally required domain knowledge. In this talk, I will outline some of the opportunities that data and analytics offer to trail runners.
Director for Sport, Media, & Entertainment Google Cloud
Former Professional Basketball Player
Former Vice President, Analytics and Basketball Development, Miami Heat; 2012 & 2013 NBA Champion, Miami Heat
Author & Jeopardy Champion