Research Team
Gal Gendeler
About
Gal Gendler is a multidisciplinary professional with expertise in software engineering and city planning. With 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, Gal brings a unique blend of technical and urban planning knowledge to their work.
Gal has previously worked in the high-tech sector as a software engineer, specializing in geographic information systems, big data, and transport planning. This practical experience complements their academic background and provides valuable industry perspective.
Currently, Gal’s research focuses on urban renewal policies and the development of an urban AI platform designed to host machine learning models for the built environment. This innovative work aims to leverage AI technologies to address complex urban challenges and improve city planning processes.
Gal’s diverse educational background and professional experience position them at the intersection of technology and urban development, where they work to create data-driven solutions for more efficient, sustainable, and livable cities.
Are you passionate about improving the design of cities?
We’re looking for diverse, talented individuals to join our mission. No matter what your background is, we invite you to apply and become part of our team.
