Kevin Li

Kevin is a landscape- and agro-ecologist who is also trained in landscape architecture. He uses his unique background to take a data-driven approach to ecological landscape design. His work also aims to make environmental data accessible and actionable for communities and decision makers. He has expertise in geographic information systems (GIS), statistical analysis, and data visualization, as well as hands-on experience in ecological restoration, stewardship, and landscape design.

Through his research and consulting work, Kevin is dedicated to creating landscapes that meet human and ecological needs and foster resilient communities for people and nature.

Education

University of Göttingen | Göttingen, Germany | 2020

Ph.D. Crop Science

University of Michigan | Ann Arbor, MI | 2015

M. Landscape Architecture

M.S. Conservation Ecology

University of North Carolina | Chapel Hill, NC | 2008

B.S. Biology

Professional Training and Certificates

Introduction to Data Science and AI Summer Academy | Michigan Institute for Data Science & AI in Society, University of Michigan | 2024

Postdoctoral Short Course on College Teaching in STEM | The Center for Research on Learning and Teaching and Rackham Graduate School, University of Michigan | 2020

Certificate of Graduate Studies in Spatial Analysis | School of Environment and Sustainability, University of Michigan | 2015

Experience

Matrix Metrics | Data analysis Consultant | 2020 - present

Oak Ridge Institute for Science Education and US Department of Agriculture | SCINet Postdoctoral Fellow | 2022 - present

University of Michigan | Postdoctoral Researcher | 2020 - 2022

Sustainable Stables | Landscape Design Consultant | 2015 - 2017

North Carolina State University | Postgraduate Researcher | 2015 - 2017

Cornell University | GIS Consultant | 2016 - 2017