Explores applying machine learning to atomic scale systems, emphasizing symmetry in feature mapping and the construction of rotationally invariant descriptors.
Explores the analysis of genotypes and variants data through a Genome-Wide Association Study, focusing on the association between genetic variants and phenotypes like height.
Covers point estimation, confidence intervals, and hypothesis testing for smooth functions using mixed models and spline smoothing.
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