Vasilis Dakos
Research Scientist CR1 at CNRS
Greater Montpellier Metropolitan Area France
Summary
👤
Senior🎓
Top SchoolVasilis Dakos is a research scientist with 13 years of experience developing mathematical and computational ecological theory to understand resilience in a changing world. Based at CNRS and an ETH Zurich postdoctoral fellow, he focuses on tipping points, early warning signals, ecological networks, and community stability using modeling, simulations, time-series analysis and statistics. Trained with a PhD in Theoretical Aquatic Ecology from Wageningen, he blends deep quantitative skills with ecological intuition across freshwater and broader ecosystem contexts. His work bridges theory and empirical data to anticipate regime shifts, and he is known for bringing rigorous dynamical systems approaches to practical conservation and management questions. A Europe-based scientist fluent in multidisciplinary collaboration, he often leverages hydrology and aquatic ecology insights from his MSc and early biology training to inform network- and community-level analyses.
13 years of coding experience
BSc, Biology, BSc, Biology at Aristoteleion Panepistimion ThessalonikisIIASASecondary Education, Secondary Education at Anatolia CollegePhD, Theoretical Aquatic Ecology, PhD, Theoretical Aquatic Ecology at Wageningen Universiteit en Researchcentrum
English, German, Greek, Dutch, French, Spanish
Github Skills (1)
spatial2
Programming languages (1)
Github contributions (5)
vdakos/miscelleneous
Nov 2018 - Nov 2018
Contributions:5 commits, 8 pushes, 1 branch in 1 day
earlywarningtoolbox/spatial_warnings
Nov 2013 - Dec 2013
Contributions:2 commits in 25 days
spatialindicators
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