PeopleofSuperintelligence

Researcher

Noah Brenowitz

Noah Brenowitz is an atmospheric scientist who builds machine-learning models of weather and climate. He earned a PhD at NYU's Courant Institute in 2017, then worked with Christopher Bretherton on machine-learning climate models, first at the University of Washington and later at Vulcan and the Allen Institute for AI. In 2023, he collaborated on the ACE climate emulator from AI2 and coauthored ClimSim, a dataset that received an Outstanding Paper Award at NeurIPS 2023. In 2025, he was first author of Climate in a Bottle, a generative model that emulates the global atmosphere at 5 km resolution. He is a Senior Research Scientist at NVIDIA.

Now at
NVIDIA
Badges

Timeline

  1. 2011–2017

    A Courant Institute PhD

    He earns a BS in mathematics and statistics at New York University in 2011. He completes a PhD in atmosphere-ocean science and mathematics at NYU's Courant Institute of Mathematical Sciences in 2017, with Andrew Majda as his advisor.

  2. 2018–2019

    Neural networks for subgrid physics

    He works with Christopher Bretherton on machine-learning climate models, first as a Moore/Sloan & WRF Innovation in Data Science Postdoctoral Fellow at the University of Washington. Their 2018 paper in Geophysical Research Letters trains a neural-network parameterization on a near-global aqua-planet simulation with 4-km resolution. In 2019, they couple a network trained by coarse-graining a near-global cloud-resolving simulation to the dynamical core of a general circulation model with 160 km resolution.

  3. March 2020

    Stabilizing convection networks

    In March 2020, he posts "Interpreting and Stabilizing Machine-learning Parametrizations of Convection" with Tom Beucler, Michael Pritchard and Christopher Bretherton. The paper introduces tools for interpreting neural-network parameterizations, which often cause dramatic instability when coupled to atmospheric fluid dynamics.

  4. By 2023

    Vulcan, Ai2 and the ACE emulator

    He works with Bretherton at Vulcan and the Allen Institute for AI (AI2) after his University of Washington fellowship. In December 2023, AI2 introduces ACE, the AI2 Climate Emulator, a neural-network atmospheric model that runs stably for at least 100 years; he contributes as an NVIDIA collaborator alongside Karthik Kashinath, Mike Pritchard and Boris Bonev.

  5. 2023

    A NeurIPS award for ClimSim

    He is one of the coauthors of ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation, which receives an Outstanding Paper Award in the Datasets and Benchmarks track at NeurIPS 2023. The dataset holds 5.7 billion pairs of input and output vectors from multi-scale climate simulations.

  6. May 2025

    Climate in a Bottle

    In May 2025, he is first author of Climate in a Bottle (cBottle), a generative diffusion-based framework that emulates global 5 km climate simulations and reanalysis on the HEALPix grid. It works in two stages, a coarse-resolution generator conditioned on sea surface temperatures and solar position, followed by a patch-based 16x super-resolution stage.

  7. As of October 2026

    Senior research scientist at NVIDIA

    He is a Senior Research Scientist at NVIDIA and a member of its Climate and Weather Simulation Research Lab, which Mike Pritchard leads and which was founded in 2022.

Career

  1. NowNVIDIASenior Research Scientist
  2. 2018–2019University of WashingtonMoore/Sloan & WRF Innovation in Data Science Postdoctoral Fellow

Education

  1. 2017Courant Institute of Mathematical SciencesPhD
  2. 2011New York UniversityBS

From the biography.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Noah Brenowitz. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Noah Brenowitz. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. Google has the highest combined h-index among AI organizationsIncludes NVIDIA. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes NVIDIA. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Noah D. Brenowitz noahbrenowitz.com. Checked 22 October 2026.
  2. Prognostic Validation of a Neural Network Unified Physics Parameterization (Journal Article) | OSTI.GOV osti.gov. Checked 22 October 2026.
  3. Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse-graining arxiv.org. Checked 22 October 2026.
  4. Interpreting and Stabilizing Machine-learning Parametrizations of Convection arxiv.org. Checked 22 October 2026.
  5. Stable and fast: ACE, the Ai2 Climate Emulator allenai.org. Checked 22 October 2026.
  6. Announcing the NeurIPS 2023 Paper Awards blog.neurips.cc. Checked 22 October 2026.
  7. NeurIPS 2023 Outstanding Paper Awards neurips.cc. Checked 22 October 2026.
  8. Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere arxiv.org. Checked 22 October 2026.
  9. Noah D. Brenowitz - AI for Good aiforgood.itu.int. Checked 22 October 2026.
  10. NVIDIA Climate and Weather Research research.nvidia.com. Checked 22 October 2026.