Gabriel Mendes, Msc
LinkedIn Profile|Lattes CV|Orcid Profile
Bioinformatician and Data Scientist with +7 years of experience in Computational Biology.
M.Sc. in Genetics (UFMG). I specialize in Data Architecture for biological systems, leveraging Python, R, SQL, and Bash to build reproducible analysis pipelines.
My work bridges the gap between molecular biology and data science, handling complex datasets such as eDNA metabarcoding and variant calling. I focus on statistical rigor, data visualization, and software development to drive biological discovery in any organism or context.
Hello, I am Gabriel Mendes
I am a Bioinformatician and Biological Data Scientist with over 7 years of experience in transforming complex biological data into actionable insights.
My expertise lies in Computational Biology, where I design and implement robust data analysis pipelines. I specialize in the architecture of biological data processing, from raw sequencing reads to statistical interpretation. While I have a strong background in eDNA metabarcoding and variant annotation, my core proficiency is in handling large-scale biological datasets across diverse domains—ranging from environmental monitoring to clinical genomics.
I solve data problems using Python, R, Bash, and Linux environments, with a strict focus on version control (Git) and reproducibility.
Explore
Navigate through my technical portfolio and contributions:
-
Portfolio & Projects
Case studies in bioinformatics pipelines, R package development, and data visualization. -
GitHub Profile
Source code for my reproducible workflows and open-source contributions. -
Orcid Profile
Scientific publications and academic output.
Contact
Open to collaborations in Data Science and Bioinformatics. Feel free to reach out.