Summary
Justin Zarb is an urban data scientist based in Berlin with nine years of experience at the intersection of cities, building performance and sustainability. He blends hands-on simulation and engineering background from Buro Happold and ETH Zürich with recent data science training and applied ML practice from Data Science Retreat and FruitPunch AI, focusing on geospatial and NLP-led projects that improve urban data access. At DKSR he applies this hybrid skill set to city-scale problems, coupling energy and daylight simulation expertise with data-driven workflows. Known for pushing innovation within multidisciplinary teams, he brings an architect’s systems-thinking to practical tools and policy-relevant analysis. A less obvious strength is his track record in teaching and tool development (eg. early HIVE Grasshopper work), which helps translate complex models into usable decision-support for planners and engineers.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering and Architecture (BE&A), Architecture and Structural Engineering, First Class Honours, Bachelor of Engineering and Architecture (BE&A), Architecture and Structural Engineering, First Class Honours at L-Università ta' Malta
Bootcamp, Data Science, Bootcamp, Data Science at Data Science Retreat
The Journey (Journey 1: Paris-Valencia-Wroclaw), The Journey (Journey 1: Paris-Valencia-Wroclaw) at EIT Climate-KIC
Architettura, Architettura at Scuola di Ingineria e Architettura, Sede di Cesena, Universita di Bologna,
MSc Integrated Building Systems, MSc Integrated Building Systems at ETH Zürich
English, Maltese, Italian, French, German