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Quality & Quantity: Lessons from Building 100M+ AI-Ready Single Cells
March 6 at 1:45PM at Silicon Valley, CA
Join Dan Rozelle, PhD, VP of Data Analytics at Rancho BioSciences, as he shares how scalable curation, ontology harmonization, and AI-ready structuring unlock value from single-cell datasets.
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Dan Rozelle, PhD
Vice President, Data Analytics
15+ years in bioinformatics / computational biology
Led large-scale single-cell curation initiatives
Experience supporting pharma, biotech, and AI-first life science platforms
Built datasets exceeding 100M harmonized single cells
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The Problem
The Data Bottleneck in Single-Cell Programs
Fragmented
public datasets
Inconsistent metadata and ontologies
AI models
trained on noisy or incomplete data
Internal teams spending months on data prep
Insights
What You’ll Learn at PMWC
What it actually takes to structure 100M+ single
cells for AI
How to balance data quality vs. dataset scale
Ontology harmonization at enterprise scale
Practical lessons from supporting AI-first discovery programs
Where most teams fail in single-cell data preparation
Meet Us at PMWC
Silicon Valley | March 6, 2026.
Our leadership team will be onsite to meet with pharma, biotech, and AI-driven life science organizations looking to scale structured data programs.
Schedule Meeting at PMWC