Significant experience in exploratory data analysis, design of experiment, modeling, hypothesis testing, and machine learning. One of the first uses of deep convolution neural networks with pooling in 1996-97 for tumor recognition in medical imaging. Experience in high data rate control systems, complex data stream analysis, vision and 3D experience, and machine learning. A prolific inventor and problem solver in fields, from basic physics to system control to human vision modeling. Substantial writing and speaking experience, with numerous publications, conference talks and patents.Dr. Jackson as a Distinguished Technologist for HP was involved in data measurement and modeling complex phenomena in non-volatile memory, and leading HP Labs group for assessing machine learning and interactions with traditional databases. Made contributions in model predictive control and computer--human interactions using various novel optical, tactile, and 3-d immersive technologies. Developed a carpool app which has saved 260K commute miles.Prior to HP Labs, Dr. Jackson spent 20 years at Xerox PARC as a Principal Scientist. Key technical roles there included medical image design using a deep convolution pooling neural network, hyper-redundant robots, modular paper paths and control systems, smart distributed paper paths, and smart image sensors. Dr. Jackson received the Eagle Award for the most granted patents in a single year at PARC. Some patents led to companies such as Liveboard, (an interactive remote collaborative white board) and Optisolar, a photovoltaic company.Fellow American Physical Society, Senior Member IEEE. Author of 140+ patents and applications (100 issued patents); over 250 publications in referred journals and conferences.Specialties include data analysis, hypothesis testing, design of experiment, problem solving, innovative patents and solutions, human vision modeling and testing, hyper-redundant controls Computer languages Python, Matlab, R, C