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.
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
unifir: A Unifying API for Interacting with Unity from R. Mahoney, MJ, Beier, CM, and Ackerman, AC. 2022. Journal of Open Source Software 7(73): 4388. https://doi.org/10.21105/joss.04388
terrainr: An R package for creating immersive virtual environments. Mahoney, MJ, Beier, CM, and Ackerman, AC. 2022. Journal of Open Source Software, 7(69): 4060. https://doi.org/10.21105/joss.04060
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.