Pushing Boundaries To Preserve Our Planet and Improve Lives

Through the pioneering use of AI, advanced technology, and analytics, we combat illegal fishing and help rejuvenate our oceans, fulfilling the vision of our founder Paul G. Allen, the late philanthropist and Microsoft co-founder.

A Commitment To Developing AI for the Common Good

Skylight is based at the Allen Institute for AI (Ai2), a non-profit organization dedicated to conducting groundbreaking AI research and engineering in service of the common good. Skylight and the fight against illegal fishing benefit from the institute’s world-class expertise in AI.

Our Mission

Bridging the Data Gap in Marine Conservation

For most countries, vast ocean sizes overwhelm resources for monitoring illegal fishing and maritime crimes. Recognizing the critical role of enforcement, Skylight addresses this gap by leveraging AI and big data, providing free, operationally relevant, and high-quality insights for under-resourced states and marine protected areas.

Team Members

Ted Schmitt
Director

Ted Schmitt is a Senior Director, Conservation at the Allen Institute for AI (Ai2) and leads the Skylight Program. For over 15 years, he has led efforts to bring fit-for-purpose technology solutions to various terrestrial and marine conservation issues.

Having worked extensively in Africa with field organizations applying technology to secure and manage protected areas, Ted started and led the EarthRanger Program, now used at over 500 parks and wildlife reserves around the globe.

Before joining Ai2, Ted was a Senior Program Officer for the Computer Science and Telecommunications Board at the United States National Academies of Science. He served as Business Development Director at several technology start-ups in Germany, Sweden, and the United States, leading the application of technology for impact.

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Program Management Team
Namrata Kolla
Program Lead
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Andrew Howe
Program Manager, Partnerships
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Joe Ferdinando
Product Manager
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Natali Giomi
Regional Partnership Manager, Latin America and the Caribbean
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Paige Roberts
Maritime Analyst
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Théo Girard
Regional Partnership Manager, Gulf of Guinea & Indian Ocean
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Youky Susaia Jr.
Regional Partnership Manager, Pacific & Southeast Asia
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AI and Machine Learning Team
Patrick Beukema
Machine Learning Engineer
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Henry Herzog
Machine Learning Engineer
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Yawen Zhang
Senior Machine Learning Engineer
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Favyen Bastani
Ai2 Researcher
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Engineering Team
Alex Buraczynski
Software Engineer
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Mark Otterlee
Director, Engineering
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Hunter Pitelka
Manager, Engineering
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Jeff Hall
Software Engineer
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Josh Hansen
Software Engineer
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Karen Farley
Technical Program Manager
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Rachel Ratner
Software Engineer
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Mike Jacobi
Software Engineer
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Communications and Design Team
Jordan Steward
Communications Manager
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Karen Goodfellow
Product Designer
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Strategic Partnerships
Hillary Aiken
Chief Development Officer
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Gregg Casad
Consultant, Exulans
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Danielle May
Grants Manager
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Our Family

Skylight is one of several zero-revenue AI for the environment programs available through the Allen Institute for AI (Ai2). Skylight, along with EarthRanger and Satlas, is available under the “AI for the Environment” umbrella at Ai2.
EarthRanger
EarthRanger is a software solution that aids protected users in making more informed operational decisions for wildlife conservation. EarthRanger collects, integrates, and displays all historical and available data and combines it with reports from the field to provide one unified view of collared wildlife, rangers, enforcement assets, and infrastructure within a protected area.
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Satlas
Satlas combines the power of modern AI with the scale of public-domain satellite imagery to provide monthly monitoring of the planet. We leverage the latest advances in AI to robustly process images in this challenging domain and produce various geospatial data products that we make freely available. These products are high-accuracy, global, and updated monthly.
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Climate Modeling
The goal of Ai2’s climate modeling team is to improve the world’s understanding of climate change, its effects, and what can be done now. Better data and technologies will inform how we mitigate and adapt to global impacts, such as sea level rise, community destruction, and biodiversity loss.
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Wildlands
Ai2’s team of machine learning researchers, engineers, and designers are working together to apply machine learning to support wildland fire management and research workflows. By focusing efforts on ground-level fuels that are not measurable with current satellite technology, the team is improving the health and resilience of our forests.
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Case Study

Protecting the Biggest Marine National Park System in Africa

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Recent News

Allen Institute For AI pledges $3 million to accelerate the use of AI to address illegal fishing

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