Garrett M. Street

Dr. Garrett M. Street is an Associate Professor at Mississippi State University, appointed in the College of Forest Resources and affiliated with the Department of Wildlife, Fisheries and Aquaculture. He also directs the Quantitative Ecology and Spatial Technologies (QuEST) Laboratory and is linked to the Forest and Wildlife Research Center and Mississippi Agricultural and Forestry Experiment Station. His office is located in Thompson Hall, Room 229.

Education

• Ph.D. in Integrative Biology – University of Guelph
• M.S. in Population & Conservation Biology – Texas State University
• B.S. in Zoology – University of Oklahoma

Research Interests

Dr. Street’s research integrates movement ecology, population dynamics, and landscape ecology to understand how animals select habitats and use space across multiple scales. He employs cutting-edge biologging technologies, machine learning, and spatially explicit models to study species ranging from white-tailed deer and wild pigs to tiger sharks and caribou. His work explicitly links fine-scale behavioral decisions to broad-scale demographic patterns, with applications in conservation biology and wildlife management.

Scientific Awards & Honors

• Superior Faculty Teaching Award – Regions Bank & Division of Agriculture, Forestry, and Veterinary Medicine
• Grantsmanship Award – Mississippi Agricultural and Forestry Experiment Station
• Outstanding Faculty Research Award – MSU Office of Research and Economic Development
• Outstanding Teaching Award – MSU College of Forest Resources
• Outstanding Peer-Reviewed Publication Award – Mississippi Chapter of The Wildlife Society

Graduate Advising & Grants

Dr. Street actively mentors graduate students, including Jane Dentinger. His success in securing competitive grants—recognized by institutional Grantsmanship Awards—supports a vibrant research program that blends field ecology, quantitative methods, and high-performance computing to advance agricultural and natural-resource research.

Laboratories & Teams

He leads the Quantitative Ecology and Spatial Technologies (QuEST) Laboratory, which leverages high-performance computing and spatial analysis to address pressing questions in wildlife ecology and conservation. The lab collaborates broadly across disciplines and institutions, integrating data from biologging devices, remote sensing, and field surveys to inform management decisions.