During her PhD, she has advanced real-time 3D reconstruction, and leveraged this towards developing machine learning approaches towards improving the reconstruction quality and semantic and instance understanding of these 3D scans. Dr. Dai received her Bachelors degree in Computer Science from Princeton University. Her work has been recognized with a Professor Michael J. Flynn Stanford Graduate Fellowship and a ZD.B Junior Research Group.
    Dr. Dai’s research aims towards attaining a 3D understanding of the world around us, capturing and constructing semantically-informed 3D models of real-world environments. This includes 3D reconstruction and semantic understanding from commodity RGB-D sensor data, leveraging generative 3D deep learning towards enabling understanding and interaction with 3D scenes for content creation and virtual or robotic agents.