Elise Filotas

Elise Filotas is a Professor at TÉLUQ University and an active researcher affiliated with the TÉLUQ Data Science Laboratory, the Centre for Forest Research, and the Quebec Centre for Biodiversity Science. Her interdisciplinary work bridges data science and ecology to study forest ecosystems across spatial and temporal scales.

Her research centers on the application of complex systems theory to ecological dynamics, particularly focusing on how interspecific and intraspecific interactions, dispersal mechanisms, and forest management practices shape population and community dynamics in forested landscapes. She integrates quantitative, theoretical, and applied modeling approaches to explore the resilience and functionality of forest ecosystems under changing environmental conditions.

Elise participates in key academic forums such as Disaster and Resilience 2021, where she contributes to discussions on building community resilience through natural infrastructure and disaster risk reduction in a changing climate. These engagements highlight her commitment to translating ecological research into practical strategies for environmental sustainability.

She is involved in developing advanced modeling tools to analyze ecological processes and their interactions with anthropogenic management. Her work supports a deeper understanding of ecosystem function and resilience, particularly in urban and peri-urban forested areas.

• Affiliations:
• TÉLUQ Data Science Laboratory
• Centre for Forest Research (Forest Study Center)
• Quebec Centre for Biodiversity Science

Elise Filotas has not listed any specific scientific awards or publications in the provided materials, but her research agenda is clearly aligned with pressing global challenges in biodiversity conservation, climate adaptation, and sustainable forest management.

She mentors students and researchers through her lab, where interdisciplinary teams work on modeling ecological systems, though no specific advisees are named. She leads or contributes to research grants focused on forest resilience, ecological modeling, and biodiversity science, leveraging data-driven approaches to address complex environmental problems.

Her lab serves as a hub for integrating data science with ecological theory, fostering collaboration across disciplines and institutions. The team develops analytical frameworks to study ecological networks, species interactions, and landscape-scale forest dynamics, aiming to inform policy and management decisions.