Gert Lanckriet is an associate professor of electrical and computer engineering at UC San Diego, where he currently heads the Computer Audition Laboratory (CALab) and leads an interdepartmental group on Computational Statistics and Machine Learning (COSMAL). His research interests are in data science, on the interplay between machine learning, applied statistics, and large-scale optimization, with applications to music and video search and recommendation, multimedia, and personalized, mobile health.
He was awarded the SIAM Optimization Prize in 2008 and is the recipient of a Hellman Fellowship, an IBM Faculty Award, an NSF CAREER Award, and an Alfred P. Sloan Foundation Research Fellowship. In 2011, MIT Technology Review named him one of the 35 top young technology innovators in the world (TR35). In 2014, he received the Best Ten-Year Paper Award at the International Conference on Machine Learning.
He co-founded Keevio, Inc., a content-based video analytics company, and Benefunder, an innovative organization that works with wealth management firms to connect philanthropists with leading researchers across the nation to fund their research. He received an MS in electrical engineering from the Katholieke Universiteit Leuven, Belgium, and an MS and PhD degrees in electrical engineering and computer science from UC Berkeley.