Thibault Marzullo joined NREL’s Commercial Buildings Research Group’s Controls and Advanced Analytics section in February 2022, where he contributes to several projects in the fields of software development, semantic interoperability, building energy modeling, and energy justice. He is also a principal investigator for the Wells Fargo Innovation Incubator, co-founded and managed by NREL. 

Dr. Marzullo has experience in advanced control algorithms, machine learning, modeling and model order reduction, teaching engineering courses, computer vision, experiment design, and data acquisition.

Research Interests

Systems control

Machine learning

Reduced order modeling

Building resilience

Education

Ph.D. Mechanical Engineering, National University of Ireland Galway, Galway (Ireland)

Diplome d’Ingenieur (M.S. Mechanical Engineering), Institut Superieur de l’Automobile et des Transports, Nevers (France)

Featured Work

A high-fidelity building performance simulation test bed for the development and evaluation of advanced controls, Journal of Building Performance Simulation (2022)

A computational toolchain for the automatic generation of multiple Reduced-Order Models from CFD simulations, Energy (2019)