Māris Munkevics

Māris Munkevics serves as an Acting Assistant in the Statistics Unit, contributing to interdisciplinary research across ecology, neuroscience, and psychiatry. His work demonstrates strong methodological expertise in statistical analysis applied to biological systems.

His research interests span multiple domains with a primary focus on ecological and evolutionary processes. Notably, he investigates predator-prey dynamics in Drosophila melanogaster, examining how developmental exposure to predation risk influences adult survival strategies, serotonin signaling, and behavioral plasticity. His work extends to pollinator ecology, studying bumblebee health in relation to apiary proximity, and avian ecology through research on great tit nestlings' telomere dynamics in different forest types. A unique interdisciplinary contribution includes investigating the mental health impacts of yin yoga interventions during the pandemic.

Analysis of his recent publications reveals a consistent pattern of research connecting environmental stressors with biological outcomes across multiple species. His work bridges statistical methodology with field biology, producing significant insights into how organisms adapt to environmental challenges. The publications show strong collaborative patterns, particularly with researchers Krams and Krama, indicating established research partnerships.

Māris contributes to multiple UN Sustainable Development Goals through his ecological research, particularly those related to life on land and good health and well-being. His fingerprint analysis confirms deep expertise in agricultural and biological sciences (100% Drosophila melanogaster research) and substantial contributions to neuroscience (50% serotonin-related work).

His research output shows consistent productivity with publications spanning 2020-2025, demonstrating active engagement in multiple research streams simultaneously. The statistical methodology expertise evident in his position appears central to his collaborative research approach across diverse biological systems.