Surgical Robotics Expert Witness

Specialties & Experience of this Expert Witness

Additional Information

Dr. Moiz Khan is a senior robotics and artificial intelligence expert with deep experience at the intersection of advanced engineering systems, AI enabled physical technologies, and real world deployment. He currently serves as Head of Market Development, where he leads strategy and technical engagement across robotics, autonomy, embedded systems, and AI driven manufacturing, working closely with industry, academia, and government stakeholders. Dr. Khan holds a PhD in Mechanical Engineering with a focus on medical and rehabilitation robotics from Columbia University and completed postdoctoral training at Harvard Medical School in surgical robotics, where he developed minimally invasive surgical systems and algorithms. His academic background spans robotics, control systems, perception, simulation, and human machine interaction, with applied experience across healthcare, autonomous systems, industrial automation, and embedded AI platforms. He has published numerous papers in leading journals and conferences and holds a patent on a novel robotics system design. He is also currently pursuing an Executive MBA at Brown University to deepen his expertise in technology strategy, governance, and leadership. In addition to his industry role, Dr. Khan serves as Co Chair of the New York City Bar Presidential Task Force Subcommittee on Artificial Intelligence and Robotics, where he contributes technical and policy insight on embodied AI, autonomous systems, and robotics governance. His work in this capacity focuses on translating complex technical developments into legal and regulatory relevant frameworks, particularly in areas involving safety, accountability, validation, and lifecycle oversight. Dr. Khan is an experienced technical consultant and expert witness, providing analysis, reports, and testimony in matters involving robotics, AI systems, medical devices, autonomous technologies, and complex engineering workflows. He has advised counsel on issues including system design, failure analysis, standards of care, technology commercialization, and regulatory context. His expertise is grounded in both theoretical understanding and hands on experience with real world systems. He is an active educator and speaker, having delivered invited lectures, executive briefings, and keynote presentations at leading universities, professional organizations, and industry forums. His teaching and advisory work often focuses on robotics, AI, model based design, simulation, and the practical implications of emerging technologies for industry, law, and public policy. Dr. Khan combines rigorous technical training with strategic and policy fluency, making him particularly well suited to matters requiring clear explanation of advanced robotics and AI systems to legal audiences, courts, and decision makers.