Zhendong is an exposome-nl PhD candidate specializing in the field of mapping external exposome factors at fine spatiotemporal resolution. In particular, he applies machine learning (ML) and GIS methods to investigate the complex interaction between human activities and the surrounding geographic context in urban areas. He is also interested in topics related to global health risk assessment, remote sensing for humanitarian aid, and adapting ML algorithms in spatial Big Data processing.
J. Kerckhoffs, J. Khan, G. Hoek, Z. Yuan, O. Hertel, M. Ketzel, S. Solvang Jensen, F. Al Hasan, K. Meliefste, R. Vermeulen
Environment International (170), December 2022
Z. Yuan, J. Kerckhoffs, G. Hoek, R. Vermeulen
Environ Sci Technol . 2022 Sep 19. doi: 10.1021
Jules Kerckhoffs, Jibran Khan, Gerard Hoek, Zhendong Yuan, Thomas Ellermann, Ole Hertel, Matthias Ketzel, Steen Solvang Jensen, Kees Meliefste, Roel Vermeulen
Environment Science and Technology, March 2022
Beulens JWJ, Pinho MGM, Abreu TC, den Braver NR, Lam TM, Huss A, Vlaanderen J, Sonnenschein T, Siddiqui NZ, Yuan Z, Kerckhoffs J, Zhernakova A, Brandao Gois MF, Vermeulen RCH.
Diabetologia. 2021 Nov 18.
Utrecht University
Institute for Risk Assesment Sciences (IRAS)
Yalelaan 2, 3584 CM Utrecht
Big Data Computational modelling Environmental Epidemiology Geoinformatics
The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...
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