The hand is where intention meets the physical world. Understanding how humans grasp, manipulate, and interact with objects is not just a perception problem — it is a blueprint for how intelligent systems should act. I reconstruct and synthesize these interactions to close the gap between vision and embodied intelligence.
I received my PhD from ETH Zürich, advised by Michael J. Black, Otmar Hilliges, and Marc Pollefeys. Before that, I completed my BSc (2018) and MSc (2020) in Computer Science at the University of British Columbia — working with Ian M. Mitchell on robotics, and with Leonid Sigal and Jim Little on vision and language. I have also spent wonderful time at Max Planck Institute for Intelligent Systems and Meta Reality Labs.
My research centers on hands in action: 3D hand pose estimation, human/hand-object reconstruction, and generative synthesis of interaction. I am drawn to problems where geometric structure, physical plausibility, and learning meet — and I seek methods that are both principled and practically useful. I co-organize the HANDS workshop series at ICCV/ECCV (2023–2025), a leading venue for hand perception and interaction in computer vision.






