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Elena Bolt is a statistical consultant at LiRI, where she provides statistical consulting, data analysis, and programming support in both R and Python for a range of language-related research projects. With a PhD at the intersection of computational neuroscience and linguistics and prior experience in statistical consulting, her data science expertise encompasses applying statistical methods to diverse research challenges—from experimental design to neurophysiological data processing, statistical modeling, and machine learning. This background equips her to address complex questions in linguistic and cognitive science with a methodical, data-focused approach.
Her previous research investigated speech-based computational neurophysiology, focusing on electroencephalography as a potential marker of cognitive decline in aging, reflecting her passion for data science, neuroscience, and psychology. Her work is documented under her ORCID and onGitHub.
