Seeking a challenging role in bioinformatics research to decode the data-driven secrets of life.
FPLooking for a job
Felipe Vaz Peres
@felipevzps
Bioinformatics scientist with expertise in genomics, transcriptomics, and metagenomics.
BrazilWhat I'm looking for
I am a bioinformatics researcher with a strong background in genomics, transcriptomics, and metagenomics. My research experience spans multiple institutions, including the University of São Paulo and the Technical University of Denmark. I have developed expertise in programming languages such as Python, Bash, and R, and have worked with various bioinformatics tools and pipelines, including Nextflow and Snakemake.
My research has focused on the analysis of large-scale genomic data, including the identification of non-coding RNAs in sugarcane and the development of bioinformatics pipelines for metagenomics data. I have also collaborated with wet-lab scientists to design and implement bioinformatics analysis for Biosynthetic Gene Clusters identification in Metagenome-Assembled Genomes.
Experience
TDGuest Researcher
Technical University of Denmark
Jan 2024 - Present (6 months)
Developed a Nextflow pipeline to analyze metagenomics data from complex microbial communities in marine sediments, utilizing Oxford Nanopore Technology long reads. Collaborated with wet-lab scientists to design, implement, and optimize bioinformatics analysis for Biosynthetic Gene Clusters identification in Metagenome-Assembled Genomes.
CLGraduate Research Fellowship
Computational, Evolutionary and Systems Biology Laboratory
Jan 2022 - Present (2 years 6 months)
Applied AI/ML algorithms to identify over 8 million non-coding RNAs in the sugarcane pan-transcriptome. Analyzed large co-expression networks of protein-coding and non-coding RNAs (over 1 million sequences), revealing the variability of non-coding RNAs in sugarcane. Annotated novel long non-coding RNAs, enriching our comprehension of their variability and functional roles.
GEBioinformatics Intern
Genera
Jan 2020 - Apr 2020 (3 months)
Enhanced human ancestry calculator analyzing over 650,000 SNPs. Analyzed population structure and ancestral origins across 70+ diverse population groups and geographical regions. Development of Genera’s ancestry calculator documentation.
CLUndergraduate Research Fellowship
Computational, Evolutionary and Systems Biology Laboratory
May 2019 - May 2021 (2 years)
Analyzed over 3.7 billion public NGS short reads (exceeding 1.1TB of raw data) from 48 sugarcane genotypes, resulting in the identification of over 16 million RNAs and the inference of the sugarcane pan-transcriptome. Developed a Snakemake pipeline to execute from data retrieval to downstream analysis, revealing the variability of over 600,000 proteins within sugarcane and inferring its core, acces
Tech stack
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Availability
Looking for a job
Location
BrazilAuthorized to work in
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