Raquel Dias
Assistant Professor
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Teaching Interests
- BSC 2891 - Python Programming for Biologists
- Introduction to Artificial Intelligence (TBD)
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Education
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2012 – 2016: University of Florida, FL - Ph.D. in Microbiology and Cell Science: Dissertation topic: Integrating computational, statistical and biochemical approaches to characterize the molecular-functional evolution of proteins.
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2010 – 2012: Pontifical University of Rio Grande do Sul, Porto Alegre, Brazil - MSc in Computer Science: Thesis topic: Optimization of tools for metagenomic post processing.
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2004 – 2010: Pontifical University of Rio Grande do Sul, Porto Alegre, Brazil - BSc in Biology: Thesis topic: Optimizing the Execution of Statistical Simulations for Human Evolution in Hyper-threaded Multicore Architectures.
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Description of Research
The Dias lab develops and applies cutting-edge Artificial Intelligence (AI) methods to examine important research questions across multiple fields of biological sciences and biomedical research.
Our research interests include: 1) improving interpretability and accuracy of AI models for bioinformaticians, 2) modelling effects of genetic and non-genetic factors on autoimmune and infectious diseases and 3) developing AI techniques to integrate microbial and host ‘omics’ data for disease prediction and prevention.
- Publications
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Awards & Honors
2025 UF/IFAS Archer Early Career Seed Grant (Bridging AI and Synthetic Biology for Engineering Thermally Resilient Bacteria)
