Daniel Muller, PhD, is an industry practitioner and academic with deep expertise in artificial intelligence and a technology leader specializing in the design and deployment of AI-driven systems at scale. With over 18 years of experience in R&D and more than 12 years leading AI and technology strategy, Daniel has worked across the defense, finance, and retail sectors, holding roles spanning engineering, data science, R&D leadership, and executive management.

He is the co-founder and CTO of MileZero, where he leads AI-driven business transformation initiatives, helping organizations architect and operationalize AI as core infrastructure for innovation, efficiency, and growth. His work focuses on translating advanced AI capabilities into production-grade systems that deliver measurable business impact. He is also the CTO of the Museum of Tolerance Jerusalem, where he leads the development of advanced technologies and AI-driven systems for immersive visitor experiences, translating complex social and ethical topics into meaningful, interactive experiences. He also currently serves as CTO of ShopperAI, an AI-powered retail intelligence platform that transforms existing store cameras into real-time insights into in-store behavior, activity, operations, and retail execution. His past positions include CTO and CIO of Be The Bank (BTB), as well as engineering roles at Elbit Systems.

He holds a PhD in Artificial Intelligence from the University of Johannesburg, under the supervision of Prof. Tshilidzi Marwala (Rector of the United Nations University and UN Under-Secretary-General). He also holds an M.Sc. in Information Management Engineering, a B.Sc. in Industrial Engineering and Management (cum laude), and a B.A. in Economics and Management from the Technion – Israel Institute of Technology.

He is the co-author of On Rationality, Artificial Intelligence and Economics (with Prof. Marwala and Prof. Fernando Buarque), bridging the fields of AI, decision-making, and economic theory.

He was awarded the Outstanding Leadership Award at the Money 2.0 Conference in recognition of his leadership and innovation in the financial sector.

Daniel’s work sits at the intersection of AI systems, decision-making, and real-world deployment, combining academic rigor with hands-on execution to build intelligent systems that move from research to production.