معرفی
Ádám Kun is a Senior Research Fellow at the Centre for Ecological Research in Tihany, Hungary, and a Research Associate Professor at the MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group at Eötvös Loránd University in Budapest, Hungary. He holds both positions on a part-time basis, reflecting his active engagement in multiple research institutions across Europe while maintaining his primary academic affiliation.
- Ph.D. in Evolutionary Biology and Ecology from Eötvös Loránd University (2003, summa cum laude)
- M.Sc. in Chemistry (2004) and Biology (2000) with thesis work on RNA world modeling and clonal plant systems
- B.Sc. in Computer Science (1996) providing foundational computational skills for his research
Dr. Kun's research spans theoretical ecology, molecular evolution, and spatial modeling, with particular expertise in clonal plant systems and prebiotic evolution. His work integrates mathematical modeling with empirical ecological research to address fundamental questions about how organisms adapt to heterogeneous environments. He has made significant contributions to understanding the error threshold concept in prebiotic systems and the ecological consequences of clonal integration in plants.
His publication record includes 30 international scientific papers with a cumulative impact factor of 140.553 and 530 independent citations. His research has been influential across multiple domains, particularly in theoretical ecology where his spatial models of clonal plant behavior have provided important insights into plant adaptation strategies. He has also authored a university textbook on evolutionary biology and co-authored one on ecology, in addition to writing 4 popular science papers.
- János Bolyai Research Fellowship (2012-2015)
- Multiple fellowships at Collegium Budapest and IIASA
- Organizer of international conferences including SysChem 2017 and the 4th International Conference on Code Biology
Dr. Kun teaches advanced courses in Evolutionary Biology, General Ecology, Biostatistics, and Computational Methods for Biologists, emphasizing the integration of theoretical concepts with practical computational approaches. His teaching reflects his interdisciplinary background and commitment to training the next generation of theoretically-informed ecologists.
