Nathalie Bartoli is a Senior Research Scientist (DR2) at ONERA and a Professor at ISAE-SUPAERO. She holds a Habilitation degree (HDR) in Applied Mathematics and specializes in Multidisciplinary Design Optimization (MDO), surrogate modeling, and Bayesian optimization. Her work focuses on aerospace applications, particularly aircraft design and optimization algorithms. She leads the Multidisciplinary Methods and Integrated Concepts Unit (DTIS/M2CI) at ONERA and teaches courses on optimization and MDO at ISAE-SUPAERO. Her research interests include surrogate models (Kriging/Gaussian Processes, mixture of experts), Bayesian optimization, and data fusion techniques. She is a member of the AIAA MDO Technical Committee and has organized workshops such as the MDO PhD Day (2019) and European MDO Workshops (2019, 2020). She has supervised over 25 PhD students and co-authored the SMT Python toolbox for surrogate modeling. Recent achievements include keynote speaking at NATO conferences, winning AIAA MDO Best Paper Awards (2022, 2020), and contributions to the AGILE H2020 project. Her work integrates manufacturing, supply chain, and aircraft design through MDO frameworks, addressing challenges in green aviation and hybrid propulsion systems. She collaborates internationally with universities like McGill and TU Delft, and industries like Airbus and DLR. Awards include the 2018 ICAS Award for AGILE project contributions and multiple best paper recognitions. Her research bridges theoretical optimization methods with practical aerospace engineering, emphasizing scalable algorithms for high-dimensional problems and industrial applications.
