Aivett Bilbao

Integrating data-dependent and data-independent acquisition methods for comprehensive lipidomic profiling using ion mobility spectrometry-mass spectrometry and a streamlined data analysis workflow

Lipidomics provides unique insights into the roles of lipids in cellular processes. In liquid chromatography tandem mass spectrometry-based lipidomics, data-dependent acquisition (DDA) provides cleaner spectra and supports higher confidence in lipid identification. Data-independent acquisition (DIA) allows more com...

Computational Tools for LC-IMS-MS Data Processing in Metabolomics.

Data Independent Acquisition Pipeline for Microbiome Samples (Microbe-DIA)

This work optimized LC–MS/MS acquisition parameters for both DDA and DIA using a model microbiome, demonstrating how DIA enables increased sample throughput without compromising quantitative performance and establishing a scalable and cost-effective pipeline for metaproteomics of complex microbial communities.

Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science

This work introduces Mycelium, an active shared workspace that automatically connects researchers and AI agents, and describes networked intelligence as sparse conditional computation over distributed scientific contexts as sparse conditional computation over distributed scientific contexts.