Kevin Feng is a Bioinformatics Programmer III with a rich background in computational biology, holding a Master’s degree in Biomedical Engineering from Johns Hopkins University. At the Laboratory for Genomics Research (LGR) in San Francisco, Kevin develops innovative bioinformatics pipelines for single-cell multiome data, focusing on gene regulatory network inference, transcription factor perturbations, and applied deep learning.
His expertise extends to machine learning and data analysis, honed through significant research in single-cell RNA-seq and spatial transcriptomics.

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