I am an architect and urban planner specializing in integrating Machine Learning techniques into urban analysis. My doctoral research focuses on developing a multi-scale approach to analyze urban and architectural data, leveraging accessible Earth Observation sources. Through this work, I seek to identify emerging trends, detect recurring patterns, and propose innovative planning directions.
After completing my B.Arch studies, I joined the Laboratory of Contemporary Urban Design (LCUD) at Tel Aviv University as a researcher, where I also earned my master’s degree with honors. Subsequently, I worked as an architect on large-scale urban renewal and planning projects. At the same time, I deepened my knowledge in data science, driven by my conviction that the future of architecture and planning lies in the synergy between big data and computer science.