🌸 Bio

Hi! I’m Mayela, a microbiologist exploring bioinformatics, data science, and computational biology. I am interested in applying computational approaches to understand biological systems and analyze complex biological data.

I completed my undergraduate thesis at the Instituto de NeurobiologĂ­a (UNAM), where I performed a metagenomic analysis of the microbiota associated with the body wall of the terrestrial gastropod Deroceras laeve. Through this project, I developed experience in bioinformatics workflows, data analysis, and computational tools for biological research.

I am a member of ISCB RSG-Mexico, where I contribute to the organization of bioinformatics courses, workshops, symposia, journal clubs, and outreach activities.

Currently, I continue expanding my skills in bioinformatics, computational biology, Python, and data science through research, training programs, and community-driven initiatives.

Education

B.Sc. in Microbiology | Universidad Autónoma de Querétaro (UAQ), Mexico

Undergraduate Thesis | Instituto de NeurobiologĂ­a (INB), UNAM

Thesis title: Análisis metagenómico de la microbiota en la pared corporal del gasterópodo Deroceras laeve.

Experience

Research Intern | Instituto de NeurobiologĂ­a, UNAM

Research focused on metagenomics, microbiome analysis, and bioinformatics workflows.

Council Member | ISCB RSG-Mexico

Supporting educational initiatives, workshops, symposia, and outreach activities in bioinformatics.

Repository Contributions

Thesis Project

Bioinformatics workflow developed for my undergraduate thesis, including Bash preprocessing, taxonomic classification, diversity analyses, statistical analyses in R, and data visualization.

Collaborative Work

Educational materials and exercises developed for bioinformatics training activities.

Technical Skills

  • Metagenomics & microbiome analysis
  • Bioinformatics: Kraken2, phyloseq, KEGG Mapper
  • Data analysis in R
  • Python for data analysis
  • Bash
  • Git & GitHub

Interests

Bioinformatics • Computational Biology • Data Science • Metagenomics • Microbiome Research

Certificates

A collection of my certificates, training activities, and participation records is available on my GitHub profile here.

Mayela Fosado Mendoza


🌸 Bio

Hi! I’m Mayela, a microbiologist exploring bioinformatics, data science, and computational biology. I am interested in applying computational approaches to understand biological systems and analyze complex biological data.

I completed my undergraduate thesis at the Instituto de NeurobiologĂ­a (UNAM), where I performed a metagenomic analysis of the microbiota associated with the body wall of the terrestrial gastropod Deroceras laeve. Through this project, I developed experience in bioinformatics workflows, data analysis, and computational tools for biological research.

I am a member of ISCB RSG-Mexico, where I contribute to the organization of bioinformatics courses, workshops, symposia, journal clubs, and outreach activities.

Currently, I continue expanding my skills in bioinformatics, computational biology, Python, and data science through research, training programs, and community-driven initiatives.

Education

B.Sc. in Microbiology | Universidad Autónoma de Querétaro (UAQ), Mexico

Undergraduate Thesis | Instituto de NeurobiologĂ­a (INB), UNAM

Thesis title: Análisis metagenómico de la microbiota en la pared corporal del gasterópodo Deroceras laeve.

Experience

Research Intern | Instituto de NeurobiologĂ­a, UNAM

Research focused on metagenomics, microbiome analysis, and bioinformatics workflows.

Council Member | ISCB RSG-Mexico

Supporting educational initiatives, workshops, symposia, and outreach activities in bioinformatics.

Repository Contributions

Thesis Project

Bioinformatics workflow developed for my undergraduate thesis, including Bash preprocessing, taxonomic classification, diversity analyses, statistical analyses in R, and data visualization.

Collaborative Work

Educational materials and exercises developed for bioinformatics training activities.

Technical Skills

  • Metagenomics & microbiome analysis
  • Bioinformatics: Kraken2, phyloseq, KEGG Mapper
  • Data analysis in R
  • Python for data analysis
  • Bash
  • Git & GitHub

Interests

Bioinformatics • Computational Biology • Data Science • Metagenomics • Microbiome Research

Certificates

A collection of my certificates, training activities, and participation records is available on my GitHub profile here.