Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)
Chapter: Mark Hansen Untitled Presentation
Mark Hansen
Untitled Presentation
Transcript of Presentation
BIOSKETCH: Mark Hansen is a professor of statistics at the University of California at Los Angeles, with a joint appointment in design and media arts. His fields of expertise include statistical methods for data streams, text mining and informational retrieval, information theory, and practical function estimation.
Before joining the faculty at UCLA, Dr. Hansen was a member of the technical staff at Bell Laboratories. He specialized in Web statistics and other large databases, directing a number of experiments with sound in support of data analysis.
He has five patents and is the author of numerous publications as well as serving as an editor for the Journal of the American Statistical Association, Technometrics, and Statistical Computing and Graphics Newsletter. He has received a number of grants and awards for his art installation Listening Post. Listening Post produces a visualization of real-time data by combining text fragments in real time from thousands of unrestricted Internet chat rooms, bulletin boards, and other public forums that are then read (or sung) by a voice synthesizer and simultaneously displayed across a suspended grid of more than 200 small electronic screens.
Dr. Hansen received his undergraduate degree in applied mathematics from the University of California at Davis and his master’s and PhD degrees in statistics from the University of California at Berkeley.
