Noémie Jaquier

I am an Assistant Professor in robot learning and control at RPL and a WASP Fellow, funded by the Knut and Alice Wallenberg Foundation, as of November 1st, 2024. Previously, I was a postdoctoral researcher in the High Performance Humanoid Technologies Lab (H²T) at KIT and a visiting postdoctoral scholar at the Stanford Robotics Lab. I received my PhD from EPFL in 2020 and did a PhD sabbatical at the Bosch Center for AI during this time.

In my research, I leverage differential geometry and physics-based inductive bias to develop data-efficient robot learning, optimization, and control algorithms with sound theoretical guarantees. If you are interested in these topics, you can find more information on my personal webpage or contact me!