About

As a Biodiversity Data Scientist, I have worked with a diverse range of collaborators, including universities, environmental organizations, and government agencies, delivering valuable insights and solutions for biodiversity conservation and invasive species management.

I am a dedicated researcher with a keen interest in understanding the complex interactions between human activities and ecological systems.
My experience includes leading the species distribution modeling of alien plants and animals under climate change scenarios for the Tracking Alien Invasive Species (TrIAS) project. I have also constructed and managed a freshwater aquatic alien species database for North America at the U.S. Environmental Protection Agency, enabling spatial decision-making to protect endangered species and prioritize management of freshwater biological invasions.

I hold a Ph.D. in Geography from the University of North Carolina, where my dissertation focused on the distribution of alien plants in forests along an urban to rural landscape gradient. I am passionate about leveraging open data and citizen science to enhance our understanding of ecological processes and invasive species management. Through my research, I aim to provide valuable insights that can inform policy and contribute to the conservation of biodiversity.


My Values

Integrity

The highest standards of honesty, ethics, and transparency are maintained in all data analysis and research practices.

Excellence

Striving for excellence in every project, I leverage my expertise in machine learning, geospatial analysis and cutting-edge approaches to deliver robust research for biodiversity conservation.

Open Science

I adhere to FAIR ( Findable, Accessible, Interoperable, Reusable) data principles to help advance biodiversity conservation and transparent decision-making. My research outputs are shared via open access publications, GitHub and Zenodo.

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