Rafaela Cappelari Ravazio, MSc

• Machine Learning
• Multiomics
• Parkinson's disease
• LatinX
• Hyposmia
• Collaboration
• Experimental models
• Biomarker

Graduated in Physics with a specialization in Medical Physics from PUCRS, with experience in the areas of radiodiagnosis and radiological protection. Completed an internship at the Hospital de Clínicas de Porto Alegre (HCPA), focusing on quality control of medical and dental radiology equipment. Also completed a mandatory internship at Hospital São Lucas, performing quality control in ultrasonography and post-processing in magnetic resonance imaging and computed tomography. Worked at the medical physics company Science, based in Viamão, providing consulting services and training in radiodiagnosis for clinics and hospitals in the state of Rio Grande do Sul. Holds a Master’s degree from the Graduate Program in Biomedical Gerontology at PUCRS, during which initiated research on the application of machine learning to medical imaging, specifically using chest tomography to predict the prognosis of patients with COVID-19. Subsequently, began a PhD in the Graduate Program in Computer Science at PUCRS, with an expected completion date of March 2027. The PhD thesis research is focused on developing a representation learning methodology for integrating multi-omics data into biologically meaningful embeddings. In parallel, has been conducting research on the combination of prior knowledge in medical imaging and other medical-related problems with machine learning and deep learning techniques. Additionally, is part of a research team using multi-omics data and neuroimaging to find data-driven subtypes of Parkinson’s disease; the involvement in this project, which required working with omics data, ultimately inspired and shaped the current PhD thesis research.