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Adriano Polpo is an Associate Professor who specializes in statistics with a focus on developing new methodologies grounded in statistical theory applied to real-world challenges. He earned his PhD from the University of São Paulo and has completed a post-doctoral sabbatical at Florida State University. His research primarily revolves around reliability and survival analysis, regression models for count data, and Bayesian nonparametric methods. His studies encompass various areas such as the impact of copper nanoparticles on algae for carbon farming and latency in treatment approaches for OCD patients. Polpo's research interests include functional data analysis, statistical and machine learning, statistical hypothesis testing, and predictive data analysis. He has been involved in several academic committees and has served as the Coordinator of the Honours Program in Mathematics and Statistics. He has held prior academic positions at the Universidade Federal de São Carlos, where he contributed significantly to the field of statistics and data science.
University of Western Australia • Perth, Australia
Teaching and conducting research in statistics and data science.
Universidade Federal de São Carlos • São Carlos, Brazil
Teaching and research in the field of statistics.
Universidade Federal de São Carlos • São Carlos, Brazil
Teaching and conducting statistical research.
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