I lead AI product strategy, proposition development, and organizational innovation across maritime, energy, health tech, advanced analytics, and the public sector. My work spans early-stage proposition building, commercialization, and developing solutions with large quantitative models (LQMs), advanced data pipelines, and scalable AI architectures. In several ventures, I drive cross-functional strategy and operations, consistently translating technical innovation into measurable value for private and public organizations.

At MIT CSAIL, I work as a Research Affiliate in Manolis Kellis’ lab, supporting the commercialization of Mantis AI—a platform that unifies large-scale, multi-source datasets in an embedded space for advanced, cross-modal analysis and visualization. I help bring this technology to organizations in government, healthcare, finance, maritime shipping, and urban planning, enabling them to extract actionable insights from complex data.