Ana María Tárano

🗺️ I advance human-centered geospatial machine learning to support decision-making for food security and environmental resilience.

🤝 My research practice is emergent from a design thinking ethos.

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⏳ Bio-Sketch

Dr. Ana M. Tárano is an Assistant Research Professor at Arizona State University (ASU), conducting research on geospatial Machine Learning (geoML) for food security applications. Before joining ASU, Tárano was a Senior Research Associate III at the University of Miami (UM), where she applied geoML for shallow-marine habitat mapping using remotely sensed multispectral imagery. She also extended the NASA Planetary ReaCH public engagement model with art and the design thinking framework as a 2022 NASA SCoPE Seed Grant Awardee. Before her time at UM, Tárano implemented principles of design thinking while applying machine learning in a unique public-facing, real-time context as Project Manager for a conversational Artificial Intelligence (AI) installation led by interdisciplinary artist Rashaad Newsome through the Stanford Institute for Human-Centered Artificial Intelligence.

Tárano received her Ph.D. in Aeronautics and Astronautics from Stanford University. Her Ph.D. research improved asteroid modeling using physics-based simulations, statistical analysis, optimization, and machine learning. This work was funded by NASA’s Asteroid Threat Assessment Project (ATAP) at NASA’s Advanced Supercomputing Division. Her contributions to NASA’s ATAP were recognized by NASA’s Group Achievement Award and NASA Ames Honor Award. Her extensive aerospace engineering experience ranges from leading Stanford’s CubeSat QB50 Discovery to studying space radiation effects on astronauts at NASA Space Radiation Lab.


📰 Recent Projects

Humanitarian Food Security

Promptable GeoAI for Food Security in Conflict Zones

Funded by the Taylor Geospatial GIFS Challenge, we are developing open-source AI tools that allow humanitarian organizations to query satellite imagery in plain language to identify early warning signs of food insecurity in conflict-affected regions. Partners include the University of Maryland, Washington University in St. Louis, NASA Harvest, NASA Goddard, and FEWS NET. Test regions include Sudan, Ukraine, Syria, and Haiti.

📰 ASU News: ASU-led AI project aims to help humanitarian organizations identify food security risks in conflict zones

📰 Devex: How geospatial AI is helping aid groups predict famine and deliver food

Other Updates

📄 NASA Lifelines Humanitarian Decision-Making for Food Security (Report)

Trazo: Field Boundary Detection in South America

🗺️ Trazo: Tracing fields, tracing commodities

An open-source AI framework in partnership with WRI for automatically delineating agricultural field boundaries from satellite imagery across South America. The first release maps nearly 11 million field boundaries across 17 soy-producing ecoregions, supporting supply chain traceability and deforestation monitoring.

📄 Field Boundaries of South America: WRI Technical Note

🌾 Blog Post: Why Accurately Mapping Crop Field Boundaries is Essential for Sustainable Supply Chains

Maui Nui Crop Monitor

The Maui Nui Crop Monitor is a collaborative effort that translates satellite observations into practical information for farmers, ranchers, natural resource managers, and community partners across Maui County. Originally developed to monitor agricultural conditions, the project has expanded to support wildfire recovery, drought monitoring, and disaster response following extreme weather events.

By combining Earth observation data with local knowledge, we provide timely geospatial products that help communities understand changing landscape conditions and make informed management decisions.

🌟 Recent Highlights

🌿 Vegetation Condition Index (VCI) App

The VCI app provides monthly maps of vegetation health, precipitation anomalies, and streamflow conditions across Maui County within a historical context. The app helps farmers, ranchers, and land managers monitor drought impacts, track ecosystem recovery, and make informed decisions that support resilient landscapes and watershed stewardship.

🌊 Kona Low Flood Mapping

Following the 2026 Kona Low storms, we developed rapid satellite-based flood extent maps and an interactive web application to document flood impacts across Maui County. Beyond emergency response, these tools help communities identify where landscapes failed to absorb water and where restoration, revegetation, and green infrastructure can better slow and infiltrate runoff in future events. Visit our Kona Lows Support page to explore the flood maps, resource hub, and satellite-derived products.

📰 Learn More

Environmental Data Science Innovation and Inclusion Lab: Data Short Course 2024 🔗

April - June 2024

This year’s short course was called: Cloud Computing, Collaboration, and Communication. We learned how to incorporate GitHub (GitHub Classroom, GitHub Codespaces, and GitHub Pages) and Python (pandas, GeoPandas, rioxarray, matplotlib, folium) into our curriculum and existing research model. We applied these lessons to our own research interests and our educational programs. See what I worked on below.

Catalyst Miami: Community Leadership on the Environment, Advocacy, and Resilience 🔗

February - April 2024

This 10-week program provided us with the groundwork to become climate justice educators, leaders, and innovators in our own communities and beyond. We developed a deep and intersectional understanding of climate science, local climate change threats, and solutions. At the end of this leadership program, we worked in teams to propose our own community resilience project. See what I worked on below.

Reimagining Bus Stops as Resilience Hubs in Miami:


🎓 Education

Ph.D. in Aeronautics and Astronautics, 2020, Stanford University

M.S. in Aeronautics and Astronautics, 2015, Stanford University

B.S. in Aeronautics and Astronautics, 2014, Stanford University


💼 Work Experience


📢 Publications


🎤 Recent Presentations


🏆 Awards