Carlos Ramirez
Postdoctoral Researcher at Medical Faculty Heidelberg
Heidelberg, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolCarlos Ramirez is a postdoctoral researcher and computational biologist with a PhD in Applied Mathematics and a decade of experience building NGS pipelines, integrating multi-omic single-cell data, and applying machine learning to biomedical problems. Based at Heidelberg University, he combines deep expertise in mathematical modeling and statistics with extensive hands-on programming (R, Python, Bash) to extract mechanistic insight from high-throughput experiments. He has delivered data-driven solutions across academia and industry—from nutritional genomics and sports tech to BI automation—and frequently mines public biomedical repositories to enrich analyses. A practical open-source practitioner (see his GitHub) who also composes music, he blends rigor in regulatory network modeling with an appetite for scalable big-data workflows.
9 years of coding experience
2 years of employment as a software developer
Specialization, Data Science, Specialization, Data Science at John Hopkins University CourseraPhD. in Science, focused in Applied mathematics, PhD. in Science, focused in Applied mathematics at UNAMBachellor, Biology, Bachellor, Bachellor, Biology, Bachellor at National University of Mexico
Italian, Spanish, English, German
Github Skills (27)
single-cell-genomics9
bioinformatics9
cran9
genomics9
pipeline3
activation3
threshold3
snakemake3
simulate3
picard3
boolean3
plot3
nextflow2
dynamics2
conda2
Programming languages (3)
Github contributions (5)
caramirezal/dataScience
May 2017 - Oct 2020
Contributions:49 commits, 79 pushes, 2 branches in 3 years 4 months
caramirezal/SQUAD
Sep 2016 - Aug 2018
Contributions:114 pushes, 1 branch, 4 comments in 1 year 11 months
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