Data-Driven Fire Science: How DDI Fellow Zakary Campbell-Lochrie is Tackling Global Wildfires

In 2025, we spoke with Dr Zakary Campbell-Lochrie, a DDI Fellow and Lecturer in Fire Science at the School of Engineering. We discussed how the Fellowship has accelerated his work with FLARE-X—a global collaboration now competing as a semi-finalist in the prestigious XPrize Wildfire competition.

Our goal is to transform how we fight wildfires by moving from manual response to fully autonomous, rapid-intervention drone swarms. — Dr Zakary Campbell-Lochrie, DDI Fellow.
Dr Zakary Campbell-Lochrie, DDI Fellow.
DDI Fellow Zakary Campbell-Lochrie

Data Driven Innovation Fellows

The Data Driven Innovation Fellows 2025

The Data Driven Innovation (DDI) Fellows Programme supports academic and professional services staff at the University of Edinburgh to explore and develop spin-out or startup ventures.

What led to the founding of FLARE-X?

FLARE-X was born from the need for a multidisciplinary response to increasingly catastrophic "megafires." My research at the University of Edinburgh focused on the fundamental physical processes of flame spread. To turn this science into a solution, we formed a global team including the University of Southampton, the University of Texas at Austin, and Texas A&M Forestry.

What is the real-world problem you’re trying to solve?

Current wildfire response is often too slow and relies on manual detection, which means fires are often already unmanageable by the time crews arrive. As climate change increases fire frequency, we need a system that can autonomously detect, verify, and suppress a fire within minutes of ignition.

You are a DDI Fellow in 2025. How has this programme shaped your journey?

The DDI Fellowship Programme (link to DDI page webflow) has been vital for bridging the gap between engineering theory and real-world deployment. It provides the framework to integrate massive datasets—from satellite Earth Observation to real-time sensor data—into a scalable platform. This focus on data-driven innovation is exactly what allowed us to advance in the Autonomous Wildfire Response track of the XPrize.

How is the technology being developed and tested?

The FLARE-X system uses a two-tier approach:

  • Scout Aircraft: Equipped with thermal infrared sensors to detect and verify early-stage fires.
  • Striker Aircraft: Autonomous drones that deploy precision-targeted fire suppressant to contain the threat.
    We recently showcased our Mission Control Station (MCS) during field testing at the RELLIS Technology & Innovation Campus in Texas, demonstrating how we coordinate these operations in real time.

What role has the University and the DDI initiative played in your success?

The University of Edinburgh has a 50-year legacy in fire science, and the Edinburgh Innovations team has been instrumental in helping us navigate the commercial and collaborative complexities of a global competition. The DDI community provides access to experts in robotics and AI which support the future development of similar data driven wildfire tech efforts at The University of Edinburgh.

What advice would you give to budding researchers and entrepreneurs?

Don't be afraid to collaborate across borders and disciplines. The wildfire challenge is too big for one lab to solve. Success in these high-stakes competitions takes time and resilience, so if you believe in your research, keep pushing for the connections that will make it impactful.

Want to learn more about the FLARE-X mission? Click below to view the full case study.

Edinburgh Innovations: FLARE-X Case Study

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