Bio

I’m a PhD candidate at SUNY-ESF, working on predictive modeling and visualization with a focus on natural systems. My current work focuses on using game engines as GIS to visualize large-scale landscapes with a focus on forested systems as a method for scientific communication and outreach. Past projects have focused on landscape and community ecology, and have included predictive models of forest biomass from remote sensing data and the landscape-level impacts of beaver within New York’s Adirondack State Park. In all of these projects I’ve worked to apply data science techniques to large-scale challenges, frequently serving as the statistical and technical expert within my team.

On this site I keep a list of my publications, presentations, and my CV, as well as a technical blog.

Education

State University of New York College of Environmental Science and Forestry | Syracuse, NY

Ph.D. in Environmental Science | August 2020 - Present (Expected 2024)
B.S. in Forest Ecosystem Science | August 2015 - December 2018

Selected Projects

Publications

Stem size selectivity is stronger than species preferences for beaver, a central place forager. Mahoney, M. J. and Stella, J. C. 2020. Forest Ecology and Management, 475, 118331. https://doi.org/10.1016/j.foreco.2020.118331.

R Packages

mvdf | A standardized approach to using R as a frontend for the Blender 3D rendering program | 2021
terrainr | Retrieve Data from the USGS National Map and Transform it for 3D Landscape Visualizations | 2021
heddlr | Functional Programming Concepts for R Markdown Documents | 2020

Mike Mahoney


Bio

I’m a PhD candidate at SUNY-ESF, working on predictive modeling and visualization with a focus on natural systems. My current work focuses on using game engines as GIS to visualize large-scale landscapes with a focus on forested systems as a method for scientific communication and outreach. Past projects have focused on landscape and community ecology, and have included predictive models of forest biomass from remote sensing data and the landscape-level impacts of beaver within New York’s Adirondack State Park. In all of these projects I’ve worked to apply data science techniques to large-scale challenges, frequently serving as the statistical and technical expert within my team.

On this site I keep a list of my publications, presentations, and my CV, as well as a technical blog.

Education

State University of New York College of Environmental Science and Forestry | Syracuse, NY

Ph.D. in Environmental Science | August 2020 - Present (Expected 2024)
B.S. in Forest Ecosystem Science | August 2015 - December 2018

Selected Projects

Publications

Stem size selectivity is stronger than species preferences for beaver, a central place forager. Mahoney, M. J. and Stella, J. C. 2020. Forest Ecology and Management, 475, 118331. https://doi.org/10.1016/j.foreco.2020.118331.

R Packages

mvdf | A standardized approach to using R as a frontend for the Blender 3D rendering program | 2021
terrainr | Retrieve Data from the USGS National Map and Transform it for 3D Landscape Visualizations | 2021
heddlr | Functional Programming Concepts for R Markdown Documents | 2020