Johanna Galvis-lascroux
Postdoctoral Fellow at CNRS
Bordeaux, Nouvelle-Aquitaine, France
Summary
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Rockstar🎓
Top SchoolJohanna Galvis-lascroux is a bioinformatics postdoctoral fellow based in Bordeaux with six years of experience integrating multi-omics, machine learning, and network analysis to study metabolism in glioblastoma and spatial omics. Her background spans academic research and applied roles—from data engineering for Alzheimer’s cohorts to developing ligand-receptor and time-series RNA-seq network visualizations using Python, R, NetworkX and igraph. She combines clinical genetics and MD training with an MSc in Human Genetics and advanced bioinformatics degrees, enabling clear translation between molecular data and biological insight. Known for building reproducible analysis pipelines and custom visualization tools (Jupyter, ComplexHeatmap, visNetwork), she often crafts statistical algorithms tailored to complex longitudinal datasets. Colleagues value her ability to bridge wet-lab questions and computational methods, bringing both domain knowledge and engineering rigor to multi-modal datasets. Her work reflects a rare mix of clinical perspective, hands-on coding, and a focus on interpretable network-driven discovery.
6 years of coding experience
4 years of employment as a software developer
MSc Human Genetics, MSc Human Genetics at Universidad Nacional de ColombiaDoctor of Medicine - MD, Doctor of Medicine - MD at Universidad Tecnológica de PereiraM2 Bioinformatics, M2 Bioinformatics at Université Claude Bernard Lyon 1Université de Bordeaux
English, French
Github Skills (19)
package-management10
conda10
bioinformatics10
bioconda10
phylogenetic-trees8
d3js5
viewer5
meta-analysis4
rna-seq3
visualization3
power-systems2
rna-velocity2
modeling2
velocity2
python1
Programming languages (5)
Github contributions (5)
johanna4711/Trans-in-3-Schritten
Feb 2022 - Apr 2022
Contributions:6 commits in 2 months
cbib/TraceGroomer
Oct 2023 - Aug 2024
Format and normalise tracer metabolomics given file(s), to produce the .csv files which are ready for DIMet analysis.
Contributions:8 releases, 11 PRs, 53 pushes in 9 months
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