Corinna Cortes
Corinna Cortes (born 31 March 1961) is a Danish computer scientist known for her contributions to machine learning. She is a Vice President at Google Research in New York City.[3] Cortes is an ACM Fellow and a recipient of the Paris Kanellakis Award for her work on theoretical foundations of support vector machines.[4][5][3][6] Early life and educationCorinna Cortes was born in 1961 in Denmark.[citation needed] Cortes received her Master of Science degree in physics from University of Copenhagen in 1989.[3] She received her PhD in computer science from the University of Rochester in 1993 for research supervised by Randal C. Nelson.[2] Career and researchCortes joined AT&T Bell Labs as a researcher in 1993. 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.[7] She is serves as an editorial board member of the journal Machine Learning.[8] 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.[4] At AT&T, Cortes was a contributor to the design of Hancock programming language.[9] Awards and honorsIn 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.[11] Personal lifeCorinna has two children and is also a competitive runner.[3] References
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