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Sofia Charlotta Olhede is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), Department of Mathematics. She holds a PhD in Mathematics from Imperial College London, earned between 2000 and 2003. She was an assistant professor at Imperial College London from 2002 to 2006 and an associate professor from 2006 to 2007. In 2007, she became a full professor at University College London before moving to EPFL in 2019. She is a Fellow of the Institute of Mathematical Statistics, elected in 2018, and an Elected Member of the International Statistical Institute since 2015. Her research focuses on developing analysis methods for data with distributional invariances.


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Sofia Olhede is a Professor of Statistical Data Science at EPFL, specializing in statistics. Her research focuses on wavelet analysis, time-frequency signal processing, and statistical modeling of complex systems. She has contributed significantly to the development of analytic wavelets, generalized Morse wavelets, and their applications in signal and image analysis. Her work also extends to network analysis, graphon estimation, and the statistical modeling of oceanic and biological systems. Additionally, she explores the societal implications of algorithmic systems and their integration into modern data science. Her research bridges theoretical statistics with practical applications in engineering, neuroscience, and environmental science.

Source: google_scholar · 98 words
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