Full Name
Christian Mannaseh
Job Title
CEO
Company
Mobius Logic, Inc.
Speaker Bio
Christian Manasseh is the Chief Executive Officer of Mobius Logic, a technology company specializing in advanced data analytics, artificial intelligence, and machine learning solutions for enterprise and government customers. He brings more than 25 years of experience across software engineering, autonomous systems, and technology commercialization, with a particular focus on how AI-driven compute is reshaping infrastructure planning, reliability, and operational decision-making.
At Mobius Logic, Christian has served as Principal Investigator on multiple U.S. Air Force and Army programs covering autonomous swarm operations, reinforcement-learning-based flight management, and large-language-model applications for mission planning and acquisition - work that intersects directly with the compute-, data- and energy-intensive workloads driving today's AI power demand. He was the first to apply machine learning to quantify fraud in healthcare claims (2007) and to build driver-safety profiles from GPS traces (2009), and he holds a U.S. patent for cost-optimized, policy-compliant trajectory generation for unmanned systems.
Christian has invested in and advised several technology start-ups in IoT, drones, medical devices, and payment processing. He holds a Master of Engineering from MIT and a PhD in Civil Systems from UC Berkeley, and has published in AI, human-machine teaming, reinforcement learning, and autonomous large-scale systems.
At Mobius Logic, Christian has served as Principal Investigator on multiple U.S. Air Force and Army programs covering autonomous swarm operations, reinforcement-learning-based flight management, and large-language-model applications for mission planning and acquisition - work that intersects directly with the compute-, data- and energy-intensive workloads driving today's AI power demand. He was the first to apply machine learning to quantify fraud in healthcare claims (2007) and to build driver-safety profiles from GPS traces (2009), and he holds a U.S. patent for cost-optimized, policy-compliant trajectory generation for unmanned systems.
Christian has invested in and advised several technology start-ups in IoT, drones, medical devices, and payment processing. He holds a Master of Engineering from MIT and a PhD in Civil Systems from UC Berkeley, and has published in AI, human-machine teaming, reinforcement learning, and autonomous large-scale systems.
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