Diego Maniloff is director of Data Science at Unata, there he uses Python everyday to build recommendation systems. Diego was as a research fellow at MIT, where he collaborated with GE to characterize the predictability of human diseases from millions of medical records, and with Audi to design an onboard recommender. Diego was a Fulbright scholar at UIC's AI Lab, where he focused on algorithms for offline/online planning under uncertainty. He received his BS+MEng degree in Telecommunications Engineering from UBP in beautiful Córdoba, Argentina. Back home, he learned his most valuable skill: how to prepare a great asado.