DBTB INT Nish Bhat r
summary
Founding engineer of Color Genomics argues genomics data generation now outpaces analysis capacity and calls for hiring and training cross-disciplinary data scientists who can apply familiar machine learning tools to messy biological datasets. Claims the main barrier is transferable data challenges rather than domain theory, and frames the talk as practical bridge work: mapping common ML workflows to sequencing pipelines, tooling choices for scalable analysis, and community links — this video is a node on devreal.ai connecting related resources.
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