Diego Maniloff is a data scientist at Unata, there he uses Python everyday to build recommendation systems. Diego was as a 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.