Eli Moss
Member Of Technical Staff at Edison Scientific
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolEli Moss is a computational biologist and Member of Technical Staff with 11 years of experience building AI/ML tools, NGS pipelines, and multi-omic integration for genomic discovery across industry and academia. He has a PhD from Stanford and a track record of translating novel sequencing methods—like pioneering Nanopore assemblies from metagenomes—into production-ready workflows and robotic molecular pipelines at companies such as Hexagon Bio and Ginkgo. Comfortable in both cloud and on-prem environments, Eli combines hands-on infrastructure engineering with team leadership to drive R&D from protocol design to boardroom-ready insights. His recent work includes building protein language model embedding search systems and an AI agent for metagenomic discovery, reflecting a rare blend of computational depth and experimental intuition. Off the bench, he’s a practical tinkerer (a great scientist and decent mechanic) who prefers debugging pipelines to fishing.
11 years of coding experience
3 years of employment as a software developer
Bachelor's Degree Computational Biology, Bachelor's Degree Computational Biology at Brown UniversityDoctor of Philosophy - PhD Genetics, Doctor of Philosophy - PhD Genetics at Stanford University
Github Skills (19)
genomes9
ncbi9
bioinformatics9
microbiome9
metagenomics9
illumina8
bacteria8
sequence8
sbml8
snakemake7
pipeline7
sequencing7
classification7
genomics7
data-processing6
Programming languages (3)
Github contributions (5)
elimoss/metagenomics_workflows
Mar 2018 - Jul 2019
Contributions:213 commits, 124 pushes, 5 branches in 1 year 4 months
sequencepipelinedata-processingbioinformaticsworkflows
bhattlab/scg_tools
Mar 2018 - Jun 2019
Useful utilities for using the SCG cluster.
Contributions:67 commits, 2 PRs, 43 pushes in 1 year 3 months
clusteruseful-utilitiesscg
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