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AI and Flow Cytometry Workshop

Conceptual illustration of cells, a flow cytometry stream, automation and collaboration with logos for NIST and NIAID underneath.
Credit: Rachel Trello, NIST, NIAID/NIH

A NIST–FDA–NIAID Co-Organized Workshop

This workshop aims to advance AI/ML applications in flow cytometry and related data. The workshop will focus on overcoming challenges and identifying solutions including essential measurements, reference controls, AI-ready reference data and ML/AI models. These efforts will target emerging applications in disease diagnosis, therapeutic development, manufacturing, and clinical trials as well as dosing and monitoring.

Draft agenda as of February 27, 2025
Day

Time

Session

Monday, 
June 9, 2025 

9:00 am – 9:05 am 

Welcome 

 

9:05 am – 9:40 am 

Setting the stage 

Max Qian, PhD, J. Craig Venter Institute, Featured Presentation,  
The evolution of computational cytometry:  milestones, challenges and opportunities. 

 

9:40 am – 10:10 am 

Federal Agency Introductions 

National Institute of Standards and Technology (NIST) 

US Food and Drug Administration (FDA) 

National Institute of Allergy and Infectious Disease, US National Insititutes of Health (NIAID/NIH) 

 

10:10 am – 10:30 am 

Regulatory perspectives on the use of artificial intelligence

Hussein Ezzeldin, FDA

 

10:30 am – 11:00 am 

Coffee break 

 

11:00 am – 12:30 pm 

Flow cytometry in research and the clinic – Part I 

Thomas Liechti, Roche and ISAC, Featured Presentation, Immunology with high-dimensional flow cytometry 

Josef Spidlen, BD Life Sciences, Data Driven Insights and Future Trends

Guang Fan, Oregon Health & Science University, Title TBA 

Yu-Fen (Andrea) Wang, AHEAD Medicine, Title TBA 

 

12:30 pm – 1:30 pm 

Lunch 

Monday, 
June 9, 2025 

 

 

 

1:30 pm – 2:30 pm 

Flow cytometry in research and the clinic – Part II 

Kamila Czechowska-Kusio, Metafora Biosystems, Title TBA 

Speaker TBA, National Cancer Institute, Title, TBA 

Panel Discussion 

 

2:30 pm – 3:00 pm 

Challenges and potential solutions for AI/ML applications – Part I 

Holden Maecker, Stanford University, Featured Presentation, Methods for producing high-quality clinical flow data 

 

3:00 pm – 3:30 pm 

Coffee break 

 

3:30 pm – 4:30 pm 

Challenges and potential solutions for AI/ML applications – Part II 

Ryan Brinkman, Dotmatics, Inc., Title TBA 

Xing Qiu, University of Rochester, Integrating flow cytometry and bulk transcriptomics for cell type-specific gene expression analysis

Panel Discussion 

 

4:30 pm – 5:10 pm 

Updates from flow data repositories 

ImmPort by NIAID/NIH, Speaker TBA 

FlowRepository by ISAC, Jonathan Irish 

Thursday, 
June 10, 2025 

 

 

 

9:00 am – 10:30 am 

Updates on centralized data analysis of interlaboratory study I 

Interlaboratory study overview, Lili Wang and Paul DeRose, NIST 

Review of data from consortium interlaboratory studies and LabCAS data repository, John Elliott, NIST 

Working Group 3 (WG3) centralized data analysis, Santosh Putta, BioLegend - Revvity 

 

10:30 am – 11:00 am 

Coffee break 

 

11:00 am – 11:30 am 

AI/ML Infrastructure 

National resources overview, Varun Chandola, National Science Foundation

 

11:30 am – 12:30 pm 

Panel discussion and workshop conclusion 

Exploring potential solutions for AI/ML in flow cytometry applications. 

 

12:30 pm – 1:30 pm 

Lunch 

Thursday, 
June 10, 2025 

1:30 pm – 5:00 pm 

NIST Flow Cytometry Standards Consortium closed session 

Created November 6, 2024, Updated February 28, 2025