About me
I am a postdoc at University of Washington, mentored by Steve Brunton, and closely collaborating with Bing Brunton and Nathan Kutz. My research interests range from machine learning and data science for modeling and control of complex systems to flexible composite structures, intelligent flight, and renewable energy systems. I received my Doctor of Science in Mechanical Engineering at ETH Zurich, developing design optimization and control methods for morphing wings applied to Airborne Wind Energy. At University of Washington, my research efforts are focused on advancing the fundamental understanding of intelligent flight and on developing machine learning methods for model discovery and control of fluid flows and flexible structures.
My education
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Doctor of Science in Mechanical Engineering, 2020
ETH Zurich -
Master of Science in Mechanical Engineering, 2016
ETH Zurich -
Bachelor of Science in Mechanical Engineering, 2013
ETH Zurich
My research projects
Exploiting statistical methods to robustify the sparse identification of nonlinear dynamics (SINDy) algorithm
Data-driven methods for model discovery and their application for nonlinear model predictive control.
Data-driven aeroelastic reduced-order modeling
Data-driven modelling methods to develop highly accurate and tractable reduced-order aeroelastic models that are valid over a wide range of operating conditions and are suitable for control.
Concurrent wing design and flight mission optimization
System level power production optimization of airborne wind energy drones by concurrently optimizing the wing design and flight mission.
Design, optimization, and manufacturing of lightweight composite wing structures.
On my days off...
