Chief Scientist, Caveon Data Forensics℠
Dennis Maynes heads up the Data Forensics division. His current interests and emphasis are in the development and usage of testing models to test for change and aberrant patterns. He is also actively pursuing applied research in optimal sequential model selection for pattern recognition. He specializes in linear and non-linear modeling using regression, neural networks, and sequential models. He employed his skills during tenures at Wicat Systems and Wicat Education Institute, Intel, and Fonix, a speech recognition company. Maynes holds a Master’s Degree in statistics from Brigham Young University.