CV Lattes
ResearcherID
ORCID
Google Scholar Citations
Universidade de São Paulo (USP). Faculdade de Ciências Farmacêuticas de Ribeirão Preto (FCFRP) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduated in Forestry Engineering from the Federal University of Viçosa (2007), Master in Genetics from the same institution (2010) and PhD in Genetics (with emphasis in Bioinformatics) from the University of São Paulo, Ribeirão Preto (2014). I have experience in the areas of Omics Sciences, Computational Biology and Bioinformatics, especially in the study of metabolism. During the postdoctoral period, I worked on the development of databases, multivariate statistics for omics data, and the application and development of quantitative methods for multidimensional data integration. My main interest is the application and development of methods for interpretation of phenotypes, using molecular information from large scale sampling techniques (Omics Sciences). I am currently developing research in the field of data science that aims to integrate different data sources and use computational statistics to elucidate altered metabolic pathways under different sampling conditions in different organisms, particularly plants and microorganisms. As a Young Researcher at FAPESP my focus is on the development of extensible and modular applications and the rational use of computational resources. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Studies of microbial communities associated with the most diverse environments have become increasingly important for the sustainable exploration of biodiversity. Understanding the set of genomes of these communities, called metagenomes, is essential to find relationships between the coding potential of genomes and their respective ecological niches. The numerous evolutionary adaptations …
The evolution in the data volume generated in modern omics experiments has led to the development of new analytical methods to explore complex multidimensional datasets. At the same time that the new experimental data creates conceptual challenges, the availability of a large volume of experimental data offers a great opportunity to apply technologies developed in other fields for big dat…
Metabolomics has gained prominence in the field of omics. It offers the possibility of phenotypic understanding at the molecular level, covering different areas of knowledge. From the experimental approach based on Mass Spectrometry (MS), untargeted metabolomics presents itself in a very promising way, because it has the capacity to reveal new Natural Products (NP) of pharmacological inte…
The present study has two objectives: (1) to develop and validate a custom Arduino hardware and software system to observe the metabolic behavior of microbial co-cultures over a time series; and (2) to evaluate the interactions between two species of fungi that produce ligninolytic enzymes (PhanerochaeteP. chrysosporium and TrichodermaT. reesei), in a co-culture in this system, to verify …
The increasing rates of antimicrobial resistance have prompted the use of new approaches to prevent or mitigate resistance in pathogens. Historically, soil microbial communities or impacted marine environments were sources of new antimicrobials. Recently, data obtained from preserved marine environments have enabled the discovery of distant homologous genes for the production of novel ant…
The creation of innovative tools for the study of natural products is strategic for Brazil, since there are estimates that 64% of all medicines currently registered have a natural product involved in their development and that the Brazilian biodiversity corresponds to around 20% of the world's biodiversity. The scientific initiation project 19/18378-6, developed by student Ana C. L. Coelh…
(Only some records are available in English at this moment)
Molecular networking combined with a large fragmentation database has a broad range of applications to natural products community. However, the compound identification is hampered by limitations on the chemical space coverage of fragmentation databases. Recent advances on in silico fragmentation have shown the potential to predict fragmentation spectrum from compound structure libraries, …
| 2 / 1 | Ongoing grants |
| 1 / 1 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 10 / 10 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 15 / 14 | All research grants and scholarships |
| Associated processes | |