NASA Ames AI/ML Seminar Series – An AI-Powered Platform for Standardizing Scientific Data

editorAstrobiology4 days ago6 Views

NASA Ames AI/ML Seminar Series – An AI-Powered Platform for Standardizing Scientific Data

AI-Astrobiology — NASA

Time: August 12th, 11AM PDT/2PM EDT

JOIN THE AI/ML SEMINAR SERIES

Everyone is invited to the monthly artificial intelligence and machine learning virtual seminar hosted by the Exobiology Branch at the NASA Ames Research Center. Previously recorded seminars can be found on the AI-ML Astrobiology YouTube channel.

The speaker for this event will be Dr. Walt Alvarado, from the Space Biosciences Research Branch at the NASA Ames Research Center.

Title: An AI-Powered Platform for Standardizing Scientific Data

Abstract:

Biological datasets are often heterogeneous and unstructured, making it challenging to compare findings, aggregate results, or reuse data across experiments. Over the past year, we’ve built and launched a generative AI-powered tool designed around a curator-in-the-loop approach, enabling subject matter experts to collaborate directly with large language models (LLMs) for more efficient data standardization and interpretation.

Leveraging multiple LLMs, the system automatically generates structured summaries from unstructured files, supports header-level data inference, and accelerates the population of curated pages on NASA’s Open Science Data Repository (OSDR). The platform integrates seamlessly with NASA data workflows but is adaptable to other scientific repositories, improving both the accessibility and consistency of technical metadata, while a companion conversational agent enables data exploration and efficient retrieval of curated content. These efforts advance NASA’s goals of transparency and collaboration across the research community.

Astrobiology,

Explorers Club Fellow, ex-NASA Space Station Payload manager/space biologist, Away Teams, Journalist, Lapsed climber, Synaesthete, Na’Vi-Jedi-Freman-Buddhist-mix, ASL, Devon Island and Everest Base Camp veteran, (he/him) 🖖🏻

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