Research Team
Gal Gendler
About
Gal Gendler is a multidisciplinary researcher with expertise in software engineering, public policy, and city planning. He holds a B.Sc. in Computer Science, an M.A. in Public Policy, and an M.Sc. with distinction from UCL in Transport and City Planning.
Before joining AAIRL, Gal worked in the technology sector as a software engineer, specializing in geographic information systems, big data, and transport planning. This background informs his research on urban AI platforms, spatial data infrastructure, and planning decision-support systems.
Gal’s work at AAIRL focused on urban renewal policy and the development of an urban AI platform for hosting machine-learning models for the built environment. His research contributed to the lab’s broader effort to make urban analytics more interoperable, transparent, and useful for planning practice.
Are you passionate about improving the design of cities?
We welcome applications from researchers, designers, and practitioners from diverse disciplinary backgrounds. If you are interested in contributing to research at the intersection of AI, design, and urban studies, we encourage you to apply and join our team.
