Marília Favalesso is a Senior Data Scientist and AI developer with six years of experience applying machine learning and advanced statistics to healthcare and environmental problems. She has led end-to-end AI projects—designing architectures, defining metrics, implementing models, and deploying solutions in clinical and client infrastructures—at Fundação CERTI and Hospital Israelita Albert Einstein. Trained as an eco-epidemiologist with an MSc and PhD in Biological Sciences, she blends rigorous quantitative methods (GLMs, mixed models, time series) with pragmatic systems thinking to deliver measurable impact, from clinical risk prediction to IoT-enabled public health proposals. As a co-founder of a biostatistics consultancy, she supported over 60 research projects and trained more than 50 researchers, emphasizing reproducibility and methodological soundness. Notably, she spearheaded an AI generative system for systematic reviews and rapid MVPs for medical imaging and phonocardiogram diagnostics, demonstrating a talent for translating research prototypes into production. Based in Santa Catarina, Brazil, she is driven by curiosity and collaboration, focusing on technically rigorous solutions that create social value.
6 years of coding experience
4 years of employment as a software developer
MSc Environmental Sciences, MSc Environmental Sciences at Universidade Estadual do Oeste do Paraná
Bachelor Biological Sciences, Bachelor Biological Sciences at Universidade Federal do Paraná
Doctor of Philosophy - PhD Biological Sciences, Doctor of Philosophy - PhD Biological Sciences at University of Buenos Aires
Ensino Técnico Economia e Meio Ambiente, Ensino Técnico Economia e Meio Ambiente at CEEP – Centro Estadual de Educação Profissional Pedro Boaretto Neto
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