SatSummit
Picture of Shay Strong, PhD
Lisbon '24
Speakers

Shay Strong, PhD

She/Her.

VP of Engineering and Product at ICEYE.

About

Dr. Shay Strong received her PhD in Astrophysics from The University of Texas at Austin, studying planets in our solar system. In 2007, she joined the Johns Hopkins University Applied Physics Lab in Maryland as a Senior Scientist, to work on US National Defence Space applications. While there, she collaborated on NASA missions including the Parker Solar Probe. In 2014, she joined the Washington DC startup OmniEarth as the Chief Data Scientist and led her team to create an AI product using satellite imagery to predict efficient use of water resources in the US. After a successful acquisition of the startup, she migrated her team to the Seattle-based company, EagleView, as Director of AI and ML to focus on the creation of AI product for insurance using satellite data. Presently, she is the VP of Product and Engineering at ICEYE in Finland, where she leads her team to develop comprehensive natural catastrophe solutions to quantify the impact of climate change on Earth for insurance and governments.


On the agenda

  1. Creating a New Market

    Nov. 18 '24, 10:00
    Plenary
    E008

    Floods will impact 2.2 billion people worldwide in the near future, with over 100 million projected to fall into extreme poverty by 2030. Yet, our ability to prepare, respond, and recover from such events is still dependent on outdated models and biased human judgment. This is a global crisis for humanity.

    At ICEYE, we are creating scalable, timely, and resilient solutions that provide critical insights before, during, and after natural catastrophes, empowering response and recovery efforts. With the world’s largest constellation of synthetic aperture radar satellites, ICEYE offers persistent monitoring that forms the foundation of an always-on system for catastrophe tracking and analysis.

    However, radar imagery alone cannot fully transform space-based information into a reliable, scalable commodity. To unlock a new market for disaster recovery and insurance, we must shift customer perceptions and deliver data that is both granular and precise—building trust and seamlessness in consumption of space-derived information. Scalable Earth Observation (EO) products must transcend shallow offerings and agnostic platforms, enabling governments and insurers to make data-driven decisions that inspire confidence among their stakeholders.

    Speakers

    1. Shay Strong, PhD

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Sponsors

Gold

  1. Amazon Web Services (AWS)


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