Raquel Dias

Raquel Dias is an Assistant Professor in the Department of Microbiology & Cell Science at the University of Florida. Her research focuses on integrating computational biology, genomics, and machine learning to address challenges in agriculture, microbial ecology, and human health. Key areas include genomic sequence analysis, protein structure-function relationships, and the application of AI in clinical diagnostics.

Education details are not explicitly provided in the text, but her publications suggest advanced training in computational biology, bioinformatics, and microbiology. Her work spans diverse topics such as soil microbiome dynamics in agricultural systems, genetic risk prediction for hearing disorders, and developing novel machine learning models for genotype imputation.

Research interests emphasize interdisciplinary approaches, including:

• Machine learning applications in genomics and proteomics
• Microbial community analysis in environmental and clinical contexts
• Development of predictive models for disease progression and genetic associations

Her recent publications highlight trends in AI-driven genomic analyses, polygenic risk scoring, and the functional characterization of uncharacterized proteins. Notable projects include the STICI and InteracTor tools for genomic and protein analysis.

No scientific awards or grants are explicitly listed in the provided text. She maintains an active lab focused on computational biology and microbial genomics, collaborating with institutions in Brazil and the U.S. on projects related to crop improvement, soil health, and human health informatics.