Lucy Jiménez is a computational biologist and applied AI scientist with a decade of experience building scalable, reproducible workflows for large genomic and transcriptomic datasets as a PhD researcher at the University of Cologne. She combines hands-on Python pipeline development, metadata design, and ML-driven comparative genomics to produce open-source tools and peer-reviewed science that bridge biology and data infrastructure. Her background includes production ML at Mercado Libre and scientific platform development for cancer research, where she integrated clinical, omics and pharmacological data for downstream analysis. An active open-source contributor, she has improved tooling used by major Python projects (e.g., ASV benchmarking for pandas), and co-founded WomenBioinfoDataScLA to broaden participation in bioinformatics. Known for translating messy biological questions into structured, reusable datasets, she thrives in interdisciplinary teams and mentors early-career researchers.
10 years of coding experience
3 years of employment as a software developer
Maestría en Ciencias Química, Maestría en Ciencias Química at Universidad Nacional de Colombia
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
Role in this project:
Back-end Developer
Contributions:34 reviews, 29 commits, 43 PRs in 1 month
Contributions summary:Lucy primarily contributed to fixing PEP-8 violations in the codebase, specifically within the `asv` folder and several Python files. They addressed code style issues reported by `flake8`, improving the overall code quality and maintainability of the project. The changes involved modifications to various Python files, including `statistics.py`, `runner.py`, `results.py`, `repo.py`, and others, indicating a broad impact across different modules. The user also replaced format() with f-strings within the codebase.
Contributions:7 PRs, 72 pushes, 1 branch in 1 year 9 months
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