Research

Our research group works on information theory, signal processing, machine learning, and artificial intelligence. We aim to develop foundational theory that guides the design of trustworthy AI and machine learning algorithms.

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Vision: A future where AI systems work reliably for everyone, are trustworthy by design, and are built on solid mathematical foundations.

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Approach: We use tools from information theory to understand how to design trustworthy AI systems. We prove theorems and create algorithms since theory-guided solutions can massively outperform trial-and-error heuristics.

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Research Support: Our research group is supported by the NSF and by generous gifts and awards from Google, IBM, Amazon, and Oracle Research.

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