February 4, 2022

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Common challenges faced with existing flow cytometry software include speed, ability to create complex visualizations of large studies and meeting regulatory compliance. CellEngine was built from the ground-up by CellCarta to solve these challenges.


Topics in this presentation include:

  • Extensive end-to-end analysis features and unmatched performance of the cloud-based cytometry analysis software
  • Rigorous validation and comprehensive 21 CFR part 11-compliance features which are an excellent fit for regulated environments
  • Analyzing longitudinal clinical studies with metadata-driven visualizations
  • The ease of reproducibly analyzing datasets containing thousands of samples with speed and rich API

This webinar was hosted with XTalks and featured the following speakers:

Zachary Bjornson-Hooper, PhD, Sr. Director, Informatics, CellCarta

Dr. Bjornson-Hooper completed his undergraduate studies in biology at the Massachusetts Institute of Technology and earned his PhD in microbiology and immunology at Stanford University. He has extensive wet lab experience in comparative immunology, flow & mass cytometry and viral genomics, including leading the development of an atlas of immune signaling responses in various animal models relevant to infectious disease research. At CellCarta, he oversees the development of the CellEngine single-cell analysis platform.

Dave McIlwain, PhD, Senior Research Scientist, Stanford University School of Medicine, Nolan Lab

Dr. McIlwain studies host response to infections using high-dimensional single-cell and spatial proteomics tools. He trained for his PhD at the University of Toronto, yielding insights into alternative mRNA splicing and iRhom2 as a new factor controlling the production of inflammatory mediator TNF. As a post-doctoral fellow, Dr. McIlwain investigated host response to viral infection in animal models at the University of Dusseldorf in Germany before moving to Stanford University.

Pier Federico Gherardini, PhD, Computational Biology Consultant, Pragmatica.Bio

Dr. Gherardini has 14 years of experience in computational biology and bioinformatics and obtained his PhD from the University of Rome Tor Vergata before moving to Stanford for postdoctoral training. Dr. Gherardini has developed computational tools for the analysis of cytometry data and a technology to measure gene expression in single cells using mass cytometry.