His research interests include optimization, mathematical control theory, optimal control systems, robust control, aircraft trajectory optimization, and climate change. He earned his B.Sc. and M.Sc. degrees in Control Engineering in 2017 and 2020, respectively.
He pursued his academic career in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (Spain), where he obtained his Ph.D. The objective of his doctoral research was to develop robust optimization methods for aircraft trajectories that account for climate impacts associated with both CO₂ and non-CO₂ emissions under various uncertainties.
He has contributed to several European projects, including FlyATM4E, ALARM, and RefMAP. In addition, he has developed or co-developed several state-of-the-art open-source Python libraries, such as CLIMaCCF, ROOST, and ROC. Over the course of his career, he has presented at numerous national and international conferences and published 14 articles in reputable, high-impact journals. His collaborative work has been honored with the “Luis Azcárraga” Aeronautical Innovation Award, and one of his 2022 publications received the journal’s Best Paper Award for that year.