[3] Cortes is an ACM Fellow and a recipient of the Paris Kanellakis Award for her work on theoretical foundations of support vector machines.

Since 2003, she has served as Vice President of Google Research, New York City,[3] and since 2011, as adjunct professor at the UCPH Department of Computer Science.

SVM is one of the most frequently used algorithms in machine learning, which is used in many practical applications, including medical diagnosis and weather forecasting.

[9] In 2008, she jointly with Vladimir Vapnik received the Paris Kanellakis Award for the development of a highly effective algorithm for supervised learning known as support vector machines (SVM).

[10] She was named an ACM Fellow in 2023 for theoretical and practical contributions to machine learning, industrial leadership and service to the field.