Zorah Lähner is an assistant professor at the University of Bonn and the Lamarr Institute and heads the group on Geometry in Machine Learning. In 2021, she obtained her PhD in Computer Science from the Technical University of Munich, and was a postdoctoral researcher at the University of Siegen from 2021 to 2023. She received the research award of the Faculty for Science and Technology in Siegen in 2023. Her research focuses on geometric aspects in optimization, for example in geometric deep learning and 3D geometry processing.

Luca Carlone is the Boeing Career Development Associate Professor in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology, and a Principal Investigator in the Laboratory for Information & Decision Systems (LIDS). He received his PhD from the Polytechnic University of Turin in 2012. He joined LIDS as a postdoctoral associate (2015) and later as a Research Scientist (2016), after spending two years as a postdoctoral fellow at the Georgia Institute of Technology (2013-2015). His research interests include nonlinear estimation, numerical and distributed optimization, and probabilistic inference, applied to sensing, perception, and decision-making in single and multi-robot systems. His work includes seminal results on certifiably correct algorithms for localization and mapping, as well as approaches for visual-inertial navigation and distributed mapping.

Julian Straub is a Lead Spatial AI Research Scientist at Meta Reality Labs Research (RLR) working on Computer Vision and 3D Perception. Before joining RLR, Julian obtained his PhD on Nonparametric Directional Perception from MIT, where he was advised by John W. Fisher III and John Leonard within the CS and AI Laboratory (CSAIL). On his way to MIT, Julian graduated from the Technische Universität München (TUM) with a Diplom and the Georgia Institute of Technology with a M.Sc. His current research interest are problems that involve 3D localization, recognition and description of objects and surfaces from egocentric video streams in scalable and generalizable ways. 

Daniel Cremers is a professor at the Technical University of Munich. He received Bachelor degrees in Mathematics (1994) and Physics (1994), and a Master's degree in Theoretical Physics (1997) from the University of Heidelberg. In 2002 he obtained a PhD in Computer Science from the University of Mannheim, Germany. Subsequently, he spent two years as a postdoctoral researcher at the University of California at Los Angeles (UCLA) and one year as a permanent researcher at Siemens Corporate Research in Princeton, NJ. From 2005 until 2009 he was associate professor at the University of Bonn, Germany. Since 2009 he holds the Chair of Computer Vision and Artificial Intelligence at the Technical University of Munich. His research interests include Computer vision, machine learning & deep networks, mathematical image analysis (segmentation, motion estimation, multiview reconstruction, visual SLAM), shape analysis, autonomous systems & self-driving cars, variational methods and partial differential equations, convex and combinatorial optimization & statistical inference.