Olivia Zumsteg

Olivia Zumsteg joined SDSC Research team as a Postdoctoral Researcher in November 2026. She received her PhD from ETH Zurich in 2026, focusing on applied machine learning and computer vision, including the combination of 3D reconstructions with knowledge distillation for the purpose of developing efficient models in plant phenotyping. She also worked with ordinary differential equations (ODEs) and physics-informed neural networks (PINNs) for time series modeling to mitigate the effects of climate change on crop yields.

As a postdoctoral researcher, her research at SDSC focuses on representation learning, probabilistic models, and synthetic image generation, with applications involving images and multimodal sensor data.