García Rasines, Daniel
Quantitative Methods
PhD: Imperial College London
BIO
Daniel García Rasines has a BSc in Mathematics from the University of Santiago de Compostela (2016), and an MSc and PhD in Statistics from Imperial College London (2017, 2021). After his doctoral studies, he joined the DataLab research group of the Institute of Mathematical Sciences (2021-2022). Later he returned to Imperial College as a Chapman Fellow (2022-2024). His research interests center around the development of inferential methods and decision-making policies in complex scenarios, mainly in the areas of selective inference and adversarial risk analysis. A full list of publications is available at https://scholar.google.es/citations?user=zvBwc4EAAAAJ&hl=en
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