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St Louis '26Speakers

Isaac Corley, PhD

He/Him.

Director of AI/ML Research at Taylor Geospatial.

About

Isaac Corley is Director of AI/ML Research at Taylor Geospatial, where he leads research in GeoAI, Earth observation, and geospatial foundation models. His work spans research through production, with a focus on building scalable, reliable AI systems for global geospatial applications.

Previously, Isaac built the RasterFlow platform at Wherobots, served as a Principal Investigator on the IARPA SMART program at BlackSky, and deployed computer vision systems for renewable energy inspection at Zeitview. He also maintains TorchGeo, a widely used PyTorch library for geospatial deep learning.

Isaac holds a Ph.D. in Electrical Engineering from the University of Texas at San Antonio and regularly speaks on geospatial AI, machine learning, and open-source research.

On the agenda

  • Explainable AI

    Nov. 18 '26, 04:00pm Workshop Council Room

    This workshop explores the intersection of “explainable AI” and uncertainty quantification for tools that rely on satellite data + AI for decision-support. As it seems like the data science/computer science community is moving towards more “black box” like systems, how can the remote sensing science community play a role in evaluation, testing, and building tools for others to evaluate? Join us for a community discussion about what needs to be measured, why, what’s challenging about doing so, who’s having success, and how to communicate uncertainty in this new realm of agents.

    Workshop space is limited. Sign-up will happen in-person when you check in for the conference.

    Speakers

    1. Emily Sylak-Glassman
    2. Isaac Corley, PhD
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Sponsors

Silver

  1. LGND

Hosts

  1. Development Seed

  2. Common Space

  3. Taylor Geospatial

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