Attila Gábor
Digital Toxicologist at Sanofi
Frankfurt, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolAttila Gábor is a Digital Toxicologist and computational biologist with 10 years of experience building AI-driven toxicity and drug-response prediction pipelines for oncology and systems toxicology. He combines deep expertise in dynamical and statistical modeling, single-cell proteomics, and multi-omics integration with hands-on R/Python development and production-ready bioinformatics tooling. His work spans academia and industry—from organizing the Single-Cell Signaling DREAM challenge and contributing Bioconductor tools to leading drug-discovery projects that integrate public transcriptomic, genomic and proteomic datasets for cohort-level efficacy prediction. Based in Frankfurt, he has a strong foundation in mathematical modeling and parameter estimation from his PhD and postdoctoral research, enabling rigorous, reproducible solutions that bridge mechanistic insight and machine learning. Colleagues rely on him to translate complex preclinical data into actionable target and biomarker hypotheses for biotech partners.
10 years of coding experience
12 years of employment as a software developer
Physicist (MSc), Physics, Nuclear Techniques, Physicist (MSc), Physics, Nuclear Techniques at Budapesti Mûszaki és Gazdaságtudományi EgyetemVeres Pálné GimnaziumDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Veszprémi Egyetem
English, German, Hungarian, Spanish
Github Skills (90)
network-graph10
transcriptomics10
boolean-logic10
r10
r-package10
integer-linear-programming10
proteins10
shiny9
rna-seq9
network-analysis9
spatial-transcriptomics9
webservice9
bioinformatics9
igraph9
numba8
Programming languages (9)
Github contributions (5)
saezlab/CellNOptR
Feb 2017 - May 2022
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data.
Contributions:1 release, 192 commits, 3 PRs in 5 years 3 months
boolean-logic
saezlab/CNORode
Jun 2018 - Mar 2022
add-on for CellNOptR using logic based differential equations
Contributions:1 release, 53 commits, 2 PRs in 3 years 9 months
equationsadd-ondifferentialdifferential-equationslogic
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