Biotechnological Engineer from the São Paulo State University (UNESP) and Master in Cellular and Developmental Biology from the Federal University of Santa Catarina (UFSC). During her undergraduate studies, she applied artificial intelligence techniques, such as artificial neural networks and genetic algorithms, to correlate physiological parameters of assisted human reproduction with gestational outcomes. In her master's research, she investigated the role of glucose metabolism in the redox homeostasis of cumulus cells and its impact on oocyte and embryo quality. She has experience in clinical data analysis and participation in interdisciplinary projects involving biochemistry, biotechnology, and bioinformatics. (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) |
Artificial intelligence (AI) has experienced rapid growth in recent years, moving from the experimental phase to the implementation phase in various fields, including medicine. Therefore, advances in algorithms and learning theories and the availability of large data sets beyond computational power have contributed to advances in current AI applications. In the field of assisted reproduct…
| 1 / 1 | Completed scholarships in Brazil |
| Associated processes | |
CV Lattes
ORCID