Sign In

Luke Barrington

Director of Climate, Weather & Geospatial AI at Google

Luke Barrington is the Director of Climate, Weather & Earth AI at Google, a position he has held since June 2016. Based in the San Francisco Bay Area, he focuses on innovation in artificial intelligence and machine learning, developing applications that have a positive impact on the world and launching transformative products.1

Professional Background

Barrington has a diverse background in technology and product management:

  • GlobalXplorer° Board Member (2018-2022): He contributed to a non-profit initiative that uses crowdsourcing and blockchain technology to engage communities in archaeological efforts through satellite imagery.1

  • Product Lead at Wing (2018): He played a key role in launching the world's first commercial drone delivery service in Canberra, Australia.1

  • Roles at DigitalGlobe (2013-2016): He held various positions, including Senior Manager of R&D and Director of New Products, where he managed satellite image technology platforms and developed products for online mapping and geospatial applications.1

  • Founder & CTO of Tomnod (2011-2013): Barrington founded this crowdsourcing platform for satellite imagery, which was later acquired by DigitalGlobe.1

Education

He holds a PhD in Electrical and Computer Engineering from UC San Diego, where his research focused on machine understanding of music.1

Current Contributions

At Google, Barrington is involved in advancing machine learning techniques for weather forecasting, contributing to projects like WeatherBench, which aims to improve data-driven weather models.3 His work is pivotal in integrating AI with climate science, enhancing predictive capabilities for weather and climate-related challenges.2

Highlights

Jul 30 · linkedin

Google's AI weather model predicted Hurricane Beryl more precisely than traditional supercomputer forecasts: https://lnkd.in/ebPGY6t5

It's been a very exciting few months as we see AI models working hand-in-hand with meteorologists to improve crises predicitions as well as day-to-day weather forecasts

Jul 29 · linkedin

AI continues to have a big impact on weather and climate forecasting. NeuralGCM, the latest model from my colleagues at @Google Research, has just been published in Nature Magazine.

NeuralGCM is unique in combining a physics-based general circulation model with a neural network for small-scale processes. It's extremely fast: 3 to 5 orders of magnitude more computationally efficient than current state-of-the-art models at similar or improved accuracy -- meaning you can run it on a laptop instead of a supercomputer!

Most exciting, NeuralGCM pushes AI weather models into the realm of climate simulation, reducing errors by up to 3x compared to atmosphere-only AMIP models. It makes realistic simulations of extreme weather events such as tropical cyclones.

https://lnkd.in/eqc-k7ar

Congrats Stephan Hoyer and the NeuralGCM team!

Related Questions

What are some of the key projects Luke Barrington has led at Google?
How did Luke Barrington's work at Tomnod influence his career?
What is the mission of GlobalXplorer° and how does it relate to Luke Barrington's work?
Can you tell me more about the Wing drone delivery service Luke Barrington launched?
What innovations has Luke Barrington introduced in the field of geospatial AI?
Luke Barrington
Luke Barrington, photo 1
Luke Barrington, photo 2
Add to my network

Experience

Director of Climate, Weather & Geospatial AI at Google (June 2016 - Present)
Board Member at GlobalXplorerº (October 2018 - January 2022), Product Lead at Wing (June 2018 - August 2018)

Education

Ph.D in Electrical & Computer Engineering from University of California, San Diego (2002 - 2011), B.Eng in Electronic Engineering from University College Dublin (1997 - 2001)

Location

Dublin, County Dublin, Ireland