معرفی
EPJA (Eric) Siero is an Assistant Professor at Wageningen University & Research, affiliated with the Mathematical and Statistical Methods - Biometris department. He holds a PhD from Leiden University (2016) and has held postdoctoral positions at the Universität Münster, Universität Oldenburg (via Humboldt fellowship), and Utrecht University. His research focuses on ecological modeling, pattern formation in ecosystems, and mathematical biology. He teaches courses such as Mathematics 2, Physical Modelling, and supervises MSc theses and internships in mathematical and statistical methods.
Research Interests: Eric’s work revolves around understanding spatial patterns in ecological systems, including vegetation dynamics, resilience to environmental changes, and the role of advection, stochasticity, and nonlocal interactions. Key topics include Turing patterns, dryland ecosystems, and critical transitions. His methodologies involve reaction-diffusion systems and stochastic modeling.
Awards: Eric received the Humboldt Postdoctoral Fellowship (2018–2019) for his research on patterned ecosystems. His articles explore topics like ecosystem resilience, vegetation collapse, and the impacts of grazing and climate change.
Teaching & Advising: He instructs courses such as MAT14903 Mathematics 2, BCT30806 Physical Modelling, and oversees MSc research practices and theses in Mathematical and Statistical Methods. No current advisees are listed, though his courses suggest active teaching roles.
Labs/Teams: Part of the Biometris group, focusing on quantitative methods for life sciences. His work bridges mathematics and ecology, contributing to theoretical frameworks for understanding complex environmental systems.
