In this episode of Data in Biotech, Jesse Paquette, co-founder and Chief Science Officer of Tag.bio, joins Ross Katz to explore how data mesh architecture and FAIR data principles are transforming clinical and research workflows in life sciences. From harmonizing legacy systems to enabling AI-readiness, Jesse shares how Tag.bio empowers domain experts to make data-driven decisions faster and more effectively.

What You'll Learn in This Episode:

>> How Tag.bio leverages data mesh and FAIR principles to democratize biomedical data access.

>> The challenges biotech firms face with legacy infrastructure and clinical trial data.

>> The importance of harmonized, version-controlled data products in AI-driven research.

>> Why smaller pharma and life sciences firms benefit most from Tag.bio’s agile platform.

Meet Our Guest

Jesse Paquette is the co-founder and Chief Science Officer of Tag.bio, where he leads scientific strategy for AI-powered analytics. With over two decades in life sciences, he specializes in building tools that help researchers interpret complex biomedical data independently.

About The Host

Ross Katz is Principal and Data Science Lead at CorrDyn. Ross specializes in building intelligent data systems that empower biotech and healthcare organizations to extract insights and drive innovation.

Connect with Our Guest:

Sponsor: CorrDyn, a data consultancy
Find out more about Tag.bio
Connect with Jesse Parquette on LinkedIn

Connect with Us:

Follow the podcast for more insightful discussions on the latest in biotech and data science.
Subscribe and leave a review if you enjoyed this episode!
Connect with Ross Katz on LinkedIn

Sponsored by…

This episode is brought to you by CorrDyn, the leader in data-driven solutions for biotech and healthcare. Discover how CorrDyn is helping organizations turn data into breakthroughs at CorrDyn.

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