Corinna Cortes
Corinna Cortes is a Danish computer scientist known for her contributions to machine learning. She is currently the Head of Google Research, New York. Cortes is a recipient of the Paris Kanellakis Theory and Practice Award for her work on theoretical foundations of support vector machines. Early life. Corinna Cortes was born in 1961 in Denmark. Education and research. Cortes received her M.S. degree in physics from Copenhagen University in 1989. In the same year she joined AT&T Bell Labs as a researcher and remained there for about ten years. She received her Ph.D. in computer science from  the University of Rochester in 1993. Since 2003, she has served as the Head of Google Research, New York, and since 2011, as adjunct professor at the Department of Computer Science, University of Copenhagen. She is an Editorial Board member of the journal Machine Learning. Cortes' research covers a wide range of topics in machine learning, including support vector machines and data mining. At AT&T, Cortes helped write the data mining programming language Hancock. In 2008, she jointly with Vladimir Vapnik received the Paris Kanellakis Theory and Practice Award for the development of a highly effective algorithm for supervised learning  known as support vector machines (SVM). Today, 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. Personal life. Corinna has two children and is also a competitive runner.