Research
Integrating Isotopes, Data and Environmental Modeling
At the SAiVE Lab, we transform isotope geolocation from a niche geological method into a versatile, data-driven framework for tracing the movement of life and materials. By pairing multiple isotope systems (strontium, sulfur, hydrogen, lead, and more) with machine learning, population genomics, metabarcoding, remote sensing, and Earth observation, we reconstruct mobility and provenance at the scale of single individuals — from butterflies to mammoths to timber. Below are the themes that organize our work.
Isoscapes and Data Science
Building powerful multi-isotope isoscapes with data science to map origins and enable geolocation applications.
Insect Migration & Conservation
Uncover global insect migrations using isotopes to predict connectivity and guide conservation actions.
Insect Pest Management
Trace insect pest origins with isotope geolocation to enable early warning and targeted management.
Megafauna Extinction and Paleoecology
Reconstructing extinct megafauna movements with isotopes to understand climate impacts and guide future conservation.
Archaeology
Discover ancient human mobility using isotopes to reveal origins, migrations, and hidden social networks.
Aquatic Animal Migration and Management
Track aquatic animal migrations with isotope geolocation to reveal hidden life histories across ecosystems.
Timber and Food Traceability
Verify product origins with isotope geolocation and machine learning for transparent, sustainable supply chains.
Artic River Hydrology
Explore Arctic warming impacts on rivers using isotopes to reveal water and carbon dynamics.