Marina Sundiang

Postdoctoral Associate, Food Systems and Global Change, Global Development Section

About

Marina Sundiang is a Postdoctoral Associate in the Food Systems & Global Change (FSGC) research group, housed in Cornell CALS Department of Global Development. Her research focuses on the emergent properties of interconnected complex systems using computational tools and real-world data. Now a member of the EAT-Lancet 2.0 Modeling Workstream, Marina leverages her transdisciplinary background to understand the complexities of food systems.

Before joining FSGC, Marina completed her doctorate in Computational Neuroscience at the University of Chicago where she investigated the temporal dynamics of biological neural networks during goal-directed behavior. Her previous work highlighted that models that incorporate interactions between system components, rather than treating them as independent, provide a more nuanced perspective.

Education

PhD in Computational Neuroscience, University of Chicago
BS in Neural Science, New York University

Interests

Spatiotemporal dynamics of complex systems

Computational modeling

Network Science

Contact Information

120E Bruckner Hall
Ithaca, NY 14853

msundiang [at] cornell.edu

Marina in the news

Illustration of the Earth in green with photo of cows grazing on the left side and crops on the right side

News

July 15, 2026

The diet that could remake modern agriculture

New study asserts that systematic change in food production and consumption requires real political capital and will.

Cornell Atkinson
Ashley School of Global Development and the Environment
Agriculture

An assortment of apples and other produce

News

October 3, 2025

Sustainable practices could cut food-related emissions in half

Food systems make up roughly 30% of total greenhouse gas emissions globally. But transforming them could cut these emissions by more than half, according to a report released Oct. 3 from a commission of global experts.

Cornell Atkinson
Agriculture
Climate Change