Ignacio Ibarra
AI Research Engineer (via Toptal) at Altos Labs
Frankfurt, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolIgnacio Ibarra is an AI research engineer and computational biologist with 11 years of experience applying machine learning to genomics, single-cell analysis, and biomedical workflows. After a PhD and postdoctoral roles at EMBL and Helmholtz, he transitioned to consulting and freelance engineering via Toptal, delivering reproducible, production-ready AI solutions for biotech and pharma clients. He currently develops generative models for single-cell genomics and has led projects spanning nanobody design, cancer antigen detection, and multimodal regulatory genomics. Ignacio blends deep domain expertise in omics with modern software engineering practices to accelerate discovery and ensure analytical rigor. Known for translating complex mechanistic biology into deployable models and pipelines, he often focuses on interpretable, high-integrity solutions that bridge research and product needs.
11 years of coding experience
9 years of employment as a software developer
Biochemistry - Computing and Informatics, Biochemistry - Computing and Informatics at Pontificia Universidad Católica de ChilePhD (EMBL International Programme), Biology, PhD (EMBL International Programme), Biology at Heidelberg University
Github Skills (82)
spatial-transcriptomics10
in-progress10
rna-seq10
single-cell-analysis9
jupyterlab9
jupyter9
jupyterlab-extension9
image-analysis8
differential-expression8
jupyter-widget8
transcriptomics8
spatial-analysis8
single-cell-genomics8
bioinformatics8
seq7
Programming languages (6)
Github contributions (5)
ilibarra/wordle_solver
Jan 2022 - Jan 2022
Contributions:37 commits, 10 pushes, 1 branch in 8 days
theislab/mubind
Jul 2023 - Sep 2024
Learning motif contributions to cell transitions using sequence features and graphs.
Contributions:3 releases, 8 PRs, 91 pushes in 1 year 2 months
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