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 (27)
genome10
sequencing10
genetic9
bioinformatics9
genomics9
science8
api8
java7
machine-learning7
pipeline7
flare7
python7
deep-learning6
tensorflow6
editing5
Programming languages (8)
Github contributions (5)
YeoLab/MARINE
Dec 2024 - Apr 2025
MARINE: Multi-core Algorithm for Rapid Identification of Nucleotide Edits
Contributions:5 releases, 3 reviews, 18 PRs in 3 months
adareditingrnasingle-cell
vanallenlab/deconstruct_sigs_py
Nov 2017 - Mar 2020
DeconstructSigs algorithm in python.
Contributions:13 releases, 25 commits, 3 PRs in 2 years 4 months
python2python
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