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Ismaila Ba received his PhD in Statistics from Université du Québec à Montréal in 2022. His main research interests lie in statistical model inference methodologies and high-dimensional data, particularly focusing on genomic platforms like single-cell sequencing and microbial/metagenomic sequencing. Ba's work also extends to spatial point pattern data and the application of statistical methods in hydrology, especially in modeling extreme events using probability distributions. His unique interdisciplinary approach to data science bridges statistical computing and real-world applications, enhancing the understanding and analysis of complex data structures.
Department of Sociology