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Aaditya Ramdas

Associate Professor of Statistics
Aaditya Ramdas

I work on "practical theory", meaning that the vast majority of my papers are about designing theoretically principled algorithms that directly solve practical problems and are usually based on simple, aesthetically elegant (in my opinion) ideas. A theoretician's goal is not to prove theorems, just as a writer's goal is not to write sentences. My goals are to improve my own (and eventually the field's) understanding of important problems, design creative algorithms for unsolved questions, and figure out when and why they work (or don't)–and often simply to ask an intriguing question that has not yet been asked.

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Aaditya makes his way to Stanford from Carnegie Mellon's Department of Statistics and Data Science, where he served a joint appointment with the Machine Learning Department in the School of Computer Science since 2018.

Contact

Telephone
650.736.0894
Office
CoDa E228