Tyson J. Thomas, PhD.

Chief Scientist

Dr. Thomas is the chief scientist at Neural ID and is focused on developing algorithms, feature extraction techniques and pattern recognition applications.

He has over thirteen years of experience in application-specific neural/fuzzy hardware and algorithms. Previously, Dr. Thomas was at NASA’s Jet Propulsion Laboratory (1995-2000) where he was responsible for system and circuit design, layout and testing for numerous neural network and fuzzy logic prototype chips and printed-circuit boards. During this time he also conducted research in the areas of genetic algorithms and biologically inspired pattern recognition for a variety of Department of Defense and NASA-funded programs. In 2000, Dr. Thomas was the recipient of a Chateaubriand post-doctoral research fellowship in Grenoble, France.

Before joining Neural ID, Dr. Thomas was principal scientist at NOVASOL where he did analysis of hyperspectral imagery and led the design and development of target-detection algorithms and architectures. He has one patent and holds PhD and MSEE degrees from the University of Southern California and a BA in Physics and Economics from Pomona College. His outside interests include downhill skiing, windsurfing, salsa and motorcycles.