

Modernizing Clinical Data Analysis with Jesse Paquette
8 snips Jul 11, 2025
In this engaging discussion, Jesse Paquette, Co-founder and Chief Science Officer of Tag.bio, delves into the game-changing impact of data mesh architecture and FAIR data principles on clinical workflows. He reveals how Tag.bio empowers researchers to navigate legacy system challenges and embrace AI-readiness. Key topics include the importance of harmonized data for efficient clinical trials and how smaller biotech firms can leverage Tag.bio's agile platform for faster, more effective data-driven decisions.
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Jesse Paquette's Career Journey
- Jesse Paquette shares his diverse background spanning academia and industry before founding TagBio.
- His experience includes computational biology at UCSF and topological data analysis at a Silicon Valley startup.
Data Mesh Powers TagBio Platform
- TagBio uses a data mesh approach treating data as a rigorously managed product with versioning.
- This enables FAIR data principles, harmonization, and independent data products with APIs for researchers.
Handle Legacy Data Carefully
- Address legacy infrastructure by creating versioned snapshots of clinical and biomarker data.
- Harmonize all disparate datasets and use controlled vocabularies to prepare data for AI.