Theoretical Foundations of Data Science (TFDS)

Theoretical Foundations of Data Science (TFDS)

This HDSI area focuses on establishing the mathematical and theoretical foundation of data science, understanding the fundamental limits of data acquisition, data processing, modeling, and inference from data. This group aims to develop efficient and effective algorithms for all aspects of data analysis with rigorous guarantees.

Subareas:

Algorithms

Optimization

Theoretical Computer Science

Computing and Statistics

Geometry and Topology

Applied Harmonic Analysis

Information Theory

Learning Theory

Economics and Game Theory

 


Photo of Mikhail Belkin

Mikhail Belkin

Professor

Mikhail Belkin received his Ph.D.…

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Alex Cloninger

Assistant Professor

Alex Cloninger is an Assistant Professor in Mathematics and the Halıcıoğlu Data Science Institute at UC San Diego.…

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Tara Javidi

Professor, HDSI Faculty Fellow

Javidi founded and co-directs the Center for Machine-Integrated Computing and Security at UC San Diego.…

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Yian Ma

Assistant Professor

Yian Ma works on scalable inference methods and their theoretical guarantees, with a focus on time series data and sequential decision making.…

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Arya Mazumdar

Associate Professor

Arya Mazumdar obtained his Ph.D.…

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Rayan Saab

Associate Professor

Rayan’s work is on the mathematics of information, data, and signals.…

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Babak Salimi

Assistant Professor

Babak Salimi is an assistant professor in HDSI at UC San Diego.…

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Berk Ustun

Assistant Professor

Berk Ustun is an incoming Assistant Professor at the Halıcıoğlu Data Science Institute at UC San Diego.…

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Yusu Wang

Professor

Yusu Wang obtained her PhD degree from Duke University in 2004, and from 2004 – 2005, she was a was a post-doctoral fellow at Stanford University.…

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Lily Weng

Assistant Professor

Lily Weng is an Assistant Professor in the Halıcıoğlu Data Science Institute at UC San Diego.…