Cortes joined
AT&T Bell Labs as a researcher in 1993. Since 2003, she has served as
Vice President of Google Research,
New York City, She is serves as an
editorial board member of the journal
Machine Learning. Cortes' research covers a wide range of topics in
machine learning, including
support vector machines (SVM) and
data mining. 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.
Awards and honours 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). She was named an
ACM Fellow in 2023 for theoretical and practical contributions to machine learning, industrial leadership and service to the field. == Personal life ==