Corinna Cortes is a Danish computer scientist who is known for her contributions to the field of machine learning.
She is currently the Head, Google Research NY at Google, Inc where she works on a broad range of theoretical and applied large-scale machine learning problems.
Prior to Google, Corinna spent more than ten years at AT&T Labs – Research, formerly AT&T Bell Labs, where she held a distinguished research position.
Corinna’s research work is well-known in particular for her contributions to the theoretical foundations of support vector machines (SVMs), for which she jointly with Vladimir Vapnik received the 2008 Paris Kanellakis Theory and Practice Award, and her work on data-mining in very large data sets for which she was awarded the AT&T Science and Technology Medal in the year 2000.
Corinna received her MS degree in Physics from University of Copenhagen and joined AT&T Bell Labs as a researcher in 1989.
She received her Ph.D. in computer science from the University of Rochester in 1993.
She is an Editorial Board member of the journal Machine Learning