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Kelvin C. Mo

Kelvin C. Mo

Computational immunology researcher focused on CAR T-cell therapy

Stanford, California

Summary

Bridges computational and experimental immunology: Kelvin combines training in molecular biology and data science to develop computational tools and predictive models that analyze high-dimensional single-cell and spatial transcriptomics data to study CAR T-cell therapy response and resistance mechanisms. stanford+2
Active contributor to collaborative, multi-author translational research: He is a co-author on multiomic single-cell studies and conference abstracts (Blood / ASH) investigating tumor microenvironment features linked to CAR T therapy outcomes, indicating experience in large-team, clinically-relevant research projects. ashpublications+1
Trained across academia and industry: Kelvin has undergraduate research and project experience at UC San Diego (including iGEM), internships at biotech and pharma companies, and data-science experience at Intel, reflecting interdisciplinary skills spanning biology, computation, and industry-facing development. igem+2
Focus on interpretable, regulatory-prior informed machine learning for single-cell prediction: Contributions to methods (e.g., tcellMIL) emphasize using gene regulatory network features and attention-based MIL to improve generalization and interpretability in predicting patient-level outcomes from single-cell data. neurips+1

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