Stanford University
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Tao Sun
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsI develop geometric representations and generative models that help robots understand and act in the 3D world. My research spans point cloud registration, shape assembly, spatial reasoning, and compositional planning. I am particularly interested in world-action models that connect perception and prediction with robot planning and control.
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Veda Sunkara
Ph.D. Student in Environment and Resources, admitted Autumn 2024
BioVeda Sunkara (she/her) is an E-IPER PhD student interested in studying disaster adaptation approaches and equity in outcomes for flood-prone communities in the face of increasing extremes due to climate change. Prior to starting her PhD, she worked as a Senior Machine Learning Engineer at Floodbase (formerly Cloud to Street), where she built machine learning algorithms to create flood maps from remotely-sensed imagery, in-situ sensors, and physics-based models for disaster planning and parametric flood insurance. She seeks to combine her earth observation and machine learning expertise with community-centered research to co-develop the data necessary to enable long term adaptation and resilience to flooding. She holds a B.S. and M.S. in Computer Science from Brown University.
