She holds a Bachelor’s degree in Biological Sciences from the Federal University of Mato Grosso do Sul (UFMS, 2011) and a Master’s degree in Genetics from the Federal University of Paraná (UFPR, 2014). She obtained her Ph.D. in Biotechnology from Dom Bosco Catholic University (UCDB), including a doctoral research internship at the Institute of Physics of São Carlos – University of São Paulo (USP), completed in 2021. She also completed postdoctoral training in Data Science (2023) and Bioinformatics (2024). She founded the Oncolearning Technology research group (PPG-Biotechnology) and served as a research fellow in the Science with R group (PPG-DL) at UCDB. She worked as a bioinformatician at the Center for Research in Immuno-Oncology (CRIO) at Hospital Israelita Albert Einstein (São Paulo, Brazil). She has experience in genetics, molecular biology, structural biology, data science, and bioinformatics. As a bioinformatician, she has developed pipelines for the analysis of various types of genetic and molecular data. With emphasis on transcriptomics, she applies different approaches for the analysis of quantitative sequencing data (bulk RNA-seq and single-cell RNA-seq) to identify differentially expressed genes (DEGs) and molecular signatures in cancer research. As a data scientist, in addition to descriptive analyses, she performs predictive analyses using artificial intelligence, including supervised machine learning and neural networks. She is currently a FAPESP Postdoctoral Fellow at INFABiC, Institute of Biology, University of Campinas (UNICAMP). She is a member of the Brazilian Association for Bioinformatics and Computational Biology (AB3C) and actively participates in the Brazilian Bioinformatics Congresses (X-meeting 2024 and X-meeting 2025). In 2022, she received an Honorable Mention in the Young Geneticist Award – Francisco Mauro Salzano, during GENÉTICA 2022 – the 67th Brazilian Congress of Genetics, awarded by the Brazilian Society of Genetics (SBG).