MD-PhD expertise in tumor immunology and advanced single-cell analysis for pharma, biotech and academic teams.
Antibody panel design for flow and mass cytometry. Marker selection, titration strategies, and validation protocols.
High-dimensional cytometry data analysis using R. FlowSOM, UMAP, differential abundance, and publication-ready figures.
Immune profiling strategies for clinical studies. Biomarker selection, SOP development, and data interpretation for regulatory submissions.
Integration of AI tools (Claude, R, Chronulus) into your cytometry pipeline. Automated analysis and intelligent reporting.
Review and optimization of existing protocols. Troubleshooting, QC strategy, and best practices for reproducible results.
Hands-on training workshops for research teams. From cytometry basics to advanced R-based data analysis.
Every project is different. Tell me about your data, your question, and your timeline — and we'll figure out the best way to work together.
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