Siddharth Narayanan
First author of FutureHouse's ether0 chemistry reasoning model and the Aviary language-agent framework
- Listed organization on GitHub profile, Edison Scientific1
Siddharth Narayanan is a machine learning researcher whose GitHub profile lists Edison Scientific. At FutureHouse, Narayanan was first author of "Training a Scientific Reasoning Model for Chemistry" (2025), which introduced the 24-billion-parameter ether0 model, and of Aviary (2024), on training language agents on challenging scientific tasks.1235
Research
Narayanan is first author of Aviary (December 2024), a FutureHouse framework for training language agents on challenging scientific tasks, and contributes to its open-source repositories.5678
In June 2025, Narayanan was first author of "Training a Scientific Reasoning Model for Chemistry", which lists FutureHouse as the authors' affiliation and introduced ether0, a 24B-parameter reasoning model for chemistry released with open weights. Narayanan's GitHub profile now lists Edison Scientific.2341
Work
ether0 (24B)Open weights
First author of the paper introducing ether0, a 24B-parameter model trained with reinforcement learning to reason in natural language and answer with chemical structures.234
Aviary (external site: github.com)Open-source code
First author of the Aviary paper (2024) and a contributor to the open-source Aviary and LDP repositories for building and training language agents.5678
Career timeline
Other documented roles
Roles the sources document but that are not confirmed as current.
- Researcher (affiliation on the 2025 ether0 paper), FutureHouse3
Related people
More sourced profiles at the same organization, in the same field, or from the same school.
- Andrew WhiteAlso at FutureHouse
- Aditya GroverReinforcement learning
- James BrazaAlso at FutureHouse
- David HaReinforcement learning
- Sam RodriquesAlso at FutureHouse
- Denis YaratsReinforcement learning
- Jakob FoersterReinforcement learning
- Jeff CluneReinforcement learning
- Josh AlbrechtAgents
- Katja HofmannReinforcement learning
- Kenneth StanleyReinforcement learning
- Leandro von WerraReinforcement learning
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