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Daniel Davis

Software Design Engineer And Predictive Analysis (machine Learning) Team Lead at Torch Technologies

Daniel Davis, PhD, is a skilled software design engineer with extensive experience in machine learning and predictive analysis. Currently serving as the Software Design Engineer and Predictive Analysis Team Lead at Torch Technologies, Inc. since January 2019, Daniel has demonstrated leadership and expertise in software development. Prior to this role, Daniel worked at Raytheon as a Software Engineer II, contributing to the Patriot Air and Missile Defense Systems Program and the Cooperative Engagement Capability Program. Daniel's experience includes significant research at CFD Research Corporation in cyber security and missile system data access, as well as graduate research at the University of Alabama in Huntsville, focusing on eye movement tracking and cryptographic algorithms. Daniel holds a PhD in Computer Science from the University of Alabama in Huntsville, along with an M.S. and B.S. in Computer Science from the same institution and the University of West Florida, respectively.

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