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I develop data-driven algorithms for robots that enable them to act more intelligently and autonomously.

My research goal is to design algorithms that can enable agents to continuously interact, learn, and perform complex tasks in their environments.

I am broadly interested in machine learning, especially reinforcement learning.

My goal is to develop robots that can effectively perceive, model, and interact with objects in the real world.

I'm broadly interested in robotics and computer vision.

I live in San Francisco.

I am a second year PhD student in Computer Science at Stanford University.

Reading words aloud is a foundational aspect of the acquisition of literacy.

I aspire to build robots that can naturally reason about the world around them, and quickly learn new behaviors and manipulation skills.

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