Daniel Muller 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 Co-Founder and CTO of MileZero, where he helps organizations bridge the last mile between AI potential and real business execution. His work focuses on identifying where AI can create real value, structuring data and workflows, and turning advanced AI capabilities into secure, trained, production-ready enterprise systems that drive 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.

His past positions include CTO of ShopperAI, CTO and CIO of the fintech company Be The Bank (BTB), and engineering roles at Elbit Systems, a defense technology company.

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 (Excellence Scholarship), 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 the book “On Rationality, Artificial Intelligence and Economics” (World Scientific, 2022), written with Prof. Tshilidzi Marwala and Prof. Fernando Buarque, which bridges 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.