David Bindel
David Bindel is a computer scientist whose research spans machine learning and scientific computing, including kernel methods and surrogate optimization. He earned bachelor's degrees in math and computer science at the University of Maryland in 1999 and a computer science PhD at UC Berkeley in 2006, then taught mathematics at NYU. At Cornell, he became an assistant professor in 2009 and an associate professor in 2017. His work includes pySOT and POAP for asynchronous surrogate optimization in 2019 and geometric Gaussian process research at ICML in 2025. He received a Sloan Research Fellowship in 2010 and became a SIAM Fellow in 2024; as of October 2026, he is a Cornell professor of computer science and director of its Center for Applied Math.
- Now at
- Cornell University
Timeline
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1999–2006
Degrees at Maryland and Berkeley
He earns B.S. degrees in mathematics and computer science at the University of Maryland in 1999, then completes a Ph.D. in computer science at UC Berkeley in 2006.
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2006–2009
Courant instructor at NYU
At New York University, he serves as a Courant Instructor of Mathematics from 2006 to 2009.
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2009–2023
Assistant and associate professor
At Cornell, he serves as an assistant professor of computer science from 2009 to 2017, then an associate professor from 2017 to 2023.
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2010
A Sloan Research Fellowship
He receives a Sloan Research Fellowship in 2010.
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2019
pySOT and POAP
He coauthors a 2019 paper that describes POAP as an event-driven framework for asynchronous optimization and pySOT as a collection of synchronous and asynchronous surrogate optimization strategies.
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2024
A SIAM Fellowship
In 2024, he becomes a SIAM Fellow for contributions in numerical linear algebra and its use across computational science and engineering.
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2025
Geometric Gaussian processes
At ICML 2025, he coauthors a paper that applies geometric Gaussian processes to combine interpolation and surface reconstruction in one stage, with one linear solve per sample.
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As of October 2026
Professor and center director
He is a professor of computer science at Cornell and director of the Center for Applied Math. His research spans machine learning and scientific computing, including kernel methods and parallel surrogate optimization.
Career
- Since 2009Cornell UniversityAssistant Professor of Computer Science, Associate Professor of Computer Science
- 2006–2009New York UniversityCourant Instructor of Mathematics
Education
- 2006University of California, BerkeleyPh.D. in computer science
- 1999University of MarylandB.S. in mathematics
Sources and credits
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