Summary
Nathanael Sheehan is a postdoctoral researcher at TUM with eight years’ experience at the intersection of environmental intelligence, computational social science, and geospatial software development. He combines a BSc in Computer Science and an MSc in Smart Cities with an ongoing PhD in Environmental Intelligence to study the historical, philosophical, social and technical dimensions of public health data sharing using mixed methods—quantitative modelling, ethnography and semi-structured interviews. His background spans building open-source transport and GIS tools for local government, emotion-detection pipelines and public dashboards at Oxford, and applied machine learning projects in industry, giving him a rare blend of hands-on engineering and STS-informed research. Based in London, he is adept at translating stakeholder needs into reproducible research and production-ready tools, and often pairs code-first solutions with participatory partnerships (e.g., Thames21) to amplify public understanding of environmental data.
8 years of coding experience
7 years of employment as a software developer
Computer Science & Mandarin, 1st, Computer Science & Mandarin, 1st at The Manchester Metropolitan University
Environmental Science, Environmental Science at University of Exeter
University College London