Corinna Cortes
Corinna Cortes is a machine learning researcher whose work helped develop support vector machines. With Vladimir Vapnik, she developed soft-margin support vector machines and published Support-Vector Networks in 1995. After a physics MS at the University of Copenhagen, she joined AT&T Bell Labs in 1989 and completed a computer-science PhD at the University of Rochester in 1993. Her work on mining very large data sets earned the AT&T Science and Technology Medal in 2000; she and Vapnik shared the 2008 Paris Kanellakis award and she became an ACM Fellow in 2023. She joined the University of Copenhagen as an adjunct professor in 2011; as of October 2026, she is a vice president in Google Research working on theoretical and applied large-scale machine learning.
- Now at
- Google Research
- Works
- 154
- Citations
- 68,860
- h-index
- 44
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1989–1993
From physics to learning
With a physics MS from the University of Copenhagen, she joined AT&T Bell Labs as a researcher in 1989 and completed a computer-science PhD at the University of Rochester in 1993.
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1995
Publishing support-vector networks
She and Vladimir Vapnik published Support-Vector Networks in Machine Learning in 1995.
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2000
Mining very large data sets
Her work on data mining in very large data sets earned the AT&T Science and Technology Medal in 2000.
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2003
Leading Google Research
In 2003 she took a research position as Head of Google Research.
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2008
An award for support vectors
She and Vladimir Vapnik shared the 2008 ACM Paris Kanellakis Theory and Practice Award for the soft-margin support vector machine they developed in the early 1990s.
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2011
A Copenhagen professorship
She joined the University of Copenhagen's Department of Computer Science as an adjunct professor in 2011.
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2023
A computing fellowship
She was named an ACM Fellow and featured in People of ACM.
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As of October 2026
Research at Google
She is a vice president in Google Research, working on theoretical and applied large-scale machine-learning problems.
Sources and credits
Photo: research.google; Corinna Cortes; creator not stated. License: Not stated by source. Source: research.google. Cropped to a square and resized. Ask us to remove or replace this photo.