Kevin Feng is a bioinformatics engineer and IEOR student with eight years of cross-disciplinary experience applying computational methods to single-cell and spatial transcriptomics problems. He has built end-to-end pipelines and APIs, designed base editor algorithms, and deployed ML approaches for gene regulatory network inference and in-silico perturbations across academic labs and industry. His work spans from hands-on wet-lab protocol optimization to production-grade tooling (SQL, Django REST, Shiny/Dash) and cloud-enabled analyses, contributing to discovery of novel oncology biomarkers. Comfortable leading projects and teaching teammates, he has repeatedly bridged experimental and computational teams to accelerate research workflows. Based in San Francisco and trained at UC Santa Cruz and Johns Hopkins, he combines engineering rigor with biological intuition and a knack for self-directed skill acquisition.
Contributions:34 commits, 29 pushes, 1 branch in 5 months
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