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Jayesh K. Gupta

Jayesh K. Gupta

AI researcher and founder building foundation models for Earth systems

jkg
Kirkland, Washington
Joined July 2024
Favicon imagerejuvyesh.comFavicon imagegithub.comFavicon imagex.comFavicon imagescholar.google.comFavicon imageorcid.orgFavicon imageopenreview.netFavicon imagelinkedin.comFavicon imagesilurian.ai

Network

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Summary

Researcher focused on data‑driven simulations, multi‑agent systems, and structured model learning: Jayesh's PhD and subsequent publications center on multi‑agent reinforcement learning, imitation learning, structured mechanical models and scalable planning; he received best‑paper recognition at AAMAS and produced multiple conference and journal contributions. rejuvyesh+2
Developer and open‑source maintainer for PDE and physics‑informed modeling: he created/maintains PDEArena and contributed libraries such as CliffordLayers and other repositories to enable reproducible PDE surrogate benchmarks and structured layer implementations. github+1
Transitioned to founder/CEO to productize Earth‑system foundation models: after research roles (notably at Microsoft) and leading ClimaX/Aurora work, Jayesh co‑founded Silurian to build foundation models that simulate Earth systems (weather/climate) for operational use in energy, insurance, and related sectors. silurian+2
Highly cited academic profile with broad collaborations: his Google Scholar and ORCID records show substantial citations and collaborations across academia and industry (Stanford advisors and Microsoft coauthors), reflecting sustained impact in RL, multi‑agent systems, and learned simulation. google+1

Work

Education

Projects

Writing

A Foundation Model for the Earth System (Aurora)

January 1, 2025

Large multi-author work describing Aurora, a foundation model for atmospheric/earth-system modeling published in Nature (2025); Jayesh appears as a contributing author.

Favicon imagedoi.org

ClimaX: A foundation model for weather and climate

January 1, 2023

Paper describing ClimaX, a foundation model trained for weather and climate tasks; presents model design, training, and downstream adaptation/forecasting experiments.

Favicon imagerejuvyesh.com

Clifford Neural Layers for PDE Modeling

January 1, 2023

Paper on Clifford-inspired neural layers applied to PDE modeling (ICLR/related venue); explores geometric representations for better PDE surrogates.

Favicon imagearxiv.org

Towards Multi‑spatiotemporal‑scale Generalized PDE Modeling (PDEArena)

January 1, 2022

Preprint describing approaches and benchmarks for generalized PDE modeling across spatial and temporal scales; introduces the PDEArena framework for evaluation.

Favicon imagepdearena.github.io

Hobbies

Maintains and contributes to open-source research software and toolkits (PDEArena, CliffordLayers and related repos). github+1