Eduardo Candela is a PhD student at the Centre for Transport Studies (CTS) since 2019, and is also a member of both the Transport Systems and Logistics Laboratory and the Personal Robotics Laboratory. His research focuses on the development of efficient algorithms for the identification of safety edge-cases in Autonomous Vehicle Control Systems. He is mainly interested in the application of Artificial Intelligence and Optimization to complex engineering settings, such as Autonomous Vehicles.
Eduardo holds a MSc in Operations Research from the Massachusetts Institute of Technology (MIT), a BSc in Industrial Engineering from Instituto Tecnológico Autónomo de México (ITAM), and a BSc in Mechatronics (Robotics) Engineering from ITAM as well.
After his master's studies, he worked in Silicon Valley for 2 years as a Data Scientist at Tesla and the Bosch Centre for Artificial Intelligence; he also worked part-time as a research assistant at Harvard University.