Mathieu Carrière is a postdoctoral research scientist in Columbia University, Department of Systems Biology. He received his PhD in Informatics from Inria and Université Paris Saclay in 2017. He is interested in the application of Topological Data Analysis in Machine Learning frameworks, with an emphasis on biological data. He is currently working on statistical and bootstrap methods for Mapper complexes computed on gene expression data, as well as predictive analysis of medical images through persistence diagrams.
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3 years ago in: Deep Learning, Modeling no comments
3 years ago in: Machine Learning, Modeling no comments