I am Noémie Jaquier, I am a WASP-affiliated Assistant Professor at the KTH Royal Institute of Technology in Stockholm. I am the head of the Geometric Robot Learning (GeoRob) Lab in the Division of Robotics, Perception, and Learning.

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.

The preprint of our book “Riemannian Manifolds in Robot Learning, Optimization, and Control” is now available online!