Summary
Naci Dilekli is an Associate Professor and geospatial software engineer with over a decade of experience building Web GIS applications, spatial analytics, and data pipelines using JavaScript, Python, ArcGIS technologies and SQL. He has led interdisciplinary research and production projects across academia and industry—from developing an award-winning cancer mapping tool and geoimputation algorithms to integrating payment systems and extending GIS APIs for bespoke decision-support applications. His work blends rigorous spatial data science (Python, R, Matlab) with practical systems engineering, including large-scale spatiotemporal exposure databases and automated processing of hundreds of thousands of records. Comfortable in international, multi-disciplinary teams, he also brings experience in grant-winning research and classroom instruction in urban planning, remote sensing and disaster management. An often overlooked strength is his track record of adapting economic and optimization methods (from his NSF-backed postdoc) to spatial problems, bridging quantitative modeling with operational GIS solutions.
10 years of coding experience
10 years of employment as a software developer
Post Graduate, Risk and Disaster Management, Post Graduate, Risk and Disaster Management at University of Geneva
Bachelors, City and Regional Planning, Bachelors, City and Regional Planning at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Ph.D., Geography, Ph.D., Geography at University of Oklahoma
Spanish, English, Turkish