Peter Edge is a Senior Computational Biologist with 12 years of experience applying computer science and quantitative methods to genomics, currently advancing single-cell and sequencing analysis at 10x Genomics. He holds a PhD and MS in Computer Science from UC San Diego and combines deep algorithmic expertise with hands-on bioinformatics from graduate work on haplotype assembly and variant calling. His background spans academic tool-building—such as Bayesian approaches to allele-specific assignment—and production software for complex biological datasets, reflecting comfort across research and product environments. Prior roles at labs and large projects (NOvA module factory) reveal a knack for robust data systems and cross-disciplinary collaboration. Based in Castro Valley, CA, he brings a rare blend of genomics domain knowledge, software engineering rigor, and practical experience turning statistical methods into scalable pipelines.
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