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Dario Nava, PhD has a diverse work experience in the field of control engineering and research. Dario started their career at Università degli Studi di Bergamo as a Research Assistant in the Control and Automation Lab. Dario then joined Politecnico di Milano as a Research Assistant in the Systems and Control - mOve Research Group, where they also held roles as a Teaching Assistant for courses on model identification and data mining, as well as fundamentals of control theory.

Dario later worked at Brembo S.p.A. as a Control Systems Engineer, focusing on modelling, robust control, and clamping force estimate for an electro-mechanical BrakeByWire system. Dario also collaborated with Politecnico di Milano on a research project.

Dario further gained experience at Ducati Motor Holding and Piaggio Group as a Vehicle Controls and Machine Learning Engineer, contributing to research projects on Advanced Rider Assistance Systems for motorcycles in collaboration with Politecnico di Milano.

In 2019, Dario joined Maserati as a Control Engineer, specializing in Vehicle Dynamics Control. Dario then took on the role of Lead Software Developer for Anomaly Detection at Eldor Corporation.

Dario has also engaged in academic research as a Visiting Researcher at the Massachusetts Institute of Technology, focusing on Energy Management under the supervision of Prof. Amos G. Winter.

Currently, Dario is employed at Arrival as a Control Engineer, specifically working on X-by-Wire Systems.

Overall, Dario Nava, PhD has a strong background in control engineering, with a focus on vehicle dynamics control, anomaly detection, energy management, and machine learning in the automotive industry.

Dario Nava, PhD, has a strong academic background in the field of Information Technology and Systems and Control. Dario completed their education at Politecnico di Milano, where they earned a Bachelor's degree in Automation and Control Engineering in 2013. Dario continued their studies at the same institution and obtained a Master of Science degree in Automation and Control Engineering in 2015. Dario further pursued their academic career and received a Doctor of Philosophy (PhD) degree in Information Technology with a specialization in Systems and Control in 2020.

In addition to their formal education, Dario Nava has also obtained several certifications in relevant areas. Dario completed courses such as "Convolutional Neural Networks in TensorFlow," "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning," "Natural Language Processing in TensorFlow," and "Sequences, Time Series and Prediction," all from Coursera, in February 2021. Prior to this, they completed a course titled "Kinematics: Describing the Motions of Spacecraft" from Coursera in January 2021. Dario also attended the EECI International Graduate School on Control - Computational Issues in Nonlinear Control, organized by CentraleSupelec, in March 2017.

Based on the provided information, it can be concluded that Dario Nava has a comprehensive educational background in Information Technology, with specialized knowledge in Systems and Control. Dario has also demonstrated a commitment to continuous learning and professional development through their additional certifications.