Eric Kofman
Advisor - Bioinformatics Genomics
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolEric Kofman is a bioinformatics and genomics advisor with 11 years of experience who bridges deep computational modeling and full‑stack engineering to advance RNA therapeutics and single‑cell multimodal analysis. Trained at Stanford (BS CS) and recently completing a PhD in Bioinformatics & Systems Biology at UC San Diego, he has developed tools for RNA edit discovery in single‑cell and long‑read data, applied CNNs to translation regulation, and built scalable pipelines for sequencing and imaging workflows. At Eli Lilly he applies statistical and bioinformatics analyses to guide NGS‑driven RNA therapeutic design, building on prior roles creating cloud bioinformatics pipelines at Dana‑Farber and image/ML pipelines at Element Biosciences. Equally comfortable coding PyTorch models and writing Snakemake/Nextflow pipelines, he pairs rigorous methodological work with clear scientific communication—he’s also a published New Yorker cartoonist and science illustrator, a hint at a creative streak that informs his approach to complex problems.
11 years of coding experience
7 years of employment as a software developer
Cary AcademyBS Computer Science, BS Computer Science at Stanford University
English, Spanish, French, German
Github Skills (30)
genome10
sequencing10
fabric10
bioinformatics9
genomics9
editing8
science8
api8
java8
algorithm7
multicore7
machine-learning7
tensorflow7
deep-learning7
python7
Programming languages (8)
Github contributions (5)
YeoLab/MARINE
Dec 2024 - Jun 2025
MARINE: Multi-core Algorithm for Rapid Identification of Nucleotide Edits
Contributions:5 releases, 3 reviews, 22 PRs in 5 months
multicoreadareditingrnasingle-cell
GeneDx/omicia_api_examples
Nov 2014 - Feb 2017
A collection of code snippets and programs to leverage the Omicia API for various tasks.
Contributions:187 commits, 20 PRs, 113 pushes in 2 years 2 months
apipythonleveragesnippetsprograms
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