- BSC 2891 - Python Programming for Biologists
- Introduction to Artificial Intelligence (TBD)
2012 – 2016: University of Florida, FL - PhD in Microbiology and Cell Science: Dissertation topic: Integrating computational, statistical and biochemical approaches to characterize the molecular-functional evolution of proteins.
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.
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.
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.
Rm. # 1250
Microbiology Building 981