Multimodal Data Products for Precision Medicine with Tag.bio

Building, Deploying & Maintaining Multimodal Data Products for Precision Medicine
*Sanjay Padhi, Chief Technologist and Executive Vice President at Tag.bio*
*Jesse Paquette, Chief Science Officer at Tag.bio*

The life sciences industry is equally blessed and cursed with rich, multimodal datasets - from single-cell omics to real-world population health outcomes. Pharmaceuticals and biotechs have struggled for 20 years to organize and deliver this complex data under FAIR principles (findable, accessible, interoperable, reproducible).

To solve this problem, over the past 8 years, we have researched and developed a flexible, domain-centric data product engine and scalable data mesh architecture which efficiently deliver FAIR, integrated, well-modeled, useful data sources for direct use by researchers, data scientists, AI/ML frameworks, physicians, and business leaders.

In this presentation, we will discuss principles of our data product / data mesh architecture and present use cases from R&D, Clinical Trials, and Real-World Evidence.

About the presenters:

Dr. Sanjay Padhi
Dr. Sanjay Padhi (LinkedIn) is currently the Chief Technologist and Executive Vice President at Tag.bio, where he is responsible for the overall data mesh platform including data engineering, AI/ML, strategy & roadmap, products, operations and services. Dr. Padhi brings more than 20+ years of experience in Tech, Data Science & Machine Learning in Commercial & Public Sector, Healthcare and Life sciences.

Jesse Paquette
Jesse Paquette (LinkedIn) is a bioinformatician with 22 years of experience in data engineering, data architecture, data science and software development in the life sciences industry. At Tag.bio, he is the lead developer on the FluxCapacitor - Tag.bio's data product development kit and engine.

Previously, Jesse led the Bioinformatics Team at Ayasdi, developed analytics applications for Cancer Tumor Boards at Thermo Fisher, provided computational biology support to the UCSF Cancer Center, and wrote one of the first interactive genome/sequence browsers at Genedata.