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Louis Ohl is a Postdoctoral researcher at Linköping University, where he focuses on unsupervised methods within Statistics and Machine Learning. His research is centered around clustering methods and positive unlabeled learning. He completed his PhD at Côte d'Azur University, France, and Laval University, Canada, where he tackled the problem of discriminative clustering in data related to aortic stenosis, a severe cardiac disease. Currently, he is involved in applying machine learning algorithms to material science, specifically investigating the MAX-phase MXene structure change. His research employs advanced clustering techniques to uncover patterns and insights in complex datasets.
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