Dr. Kumar P. Mainali specialises in biodiversity science, large-scale ecological modelling, and the application of traditional and modern machine-learning methods to understand species, landscapes, and environmental change.
His work focuses on developing advanced analytical tools to support practical conservation decision-making. His recent research includes developing high-resolution species distribution models across broad geographic regions, designing quantitative approaches to map ecological patterns, and creating methods to identify areas where conservation action can have the greatest impact.
Dr. Mainali is also engaged in developing novel statistical methods and ecological metrics. One of these, known as alpha-hat, is a novel and robust metric for estimating affinity in binary data. By connecting principles from community ecology with computational modelling, this approach helps reveal patterns of association—including species affinity and aspects of beta diversity—that are not adequately captured by conventional indices.
He has collaborated with universities, NGOs, and conservation organisations on a wide range of research and conservation-planning initiatives. His work spans satellite data analysis, ecological modelling, and the integration of field observations with advanced computational systems.
Dr. Mainali completed his PhD research in the Nepal Himalaya, focusing on the responses of the Himalayan treeline ecotone to climate change. He continues to collaborate with researchers working across the region on species distributions, community structure, biodiversity patterns, and environmental change. He also teaches machine learning and data science at the University of Maryland, College Park.
As an Adviser to BIOCOS Nepal, Dr. Mainali supports strategic scientific planning and the development of quantitative tools that translate ecological data into practical guidance for conservation programmes. His expertise strengthens BIOCOS Nepal’s scientific foundation and helps ensure that field-based conservation initiatives are supported by rigorous analytical design and cutting-edge computational approaches.
© 2025 Biocos Nepal. All Rights Reserved.
Website by Brevin Creation