I am a postdoc research associate at the Turing Institute, working as part of the Turing-Roche partnership on developing new statistical methods for uncertainty quantification that can be levelled for healthcare applications. Previously, I obtained my PhD from the Laboratory of Statistics, Probability and Modélisation (LPSM) @ Sorbonne Université, under the supervision of Etienne Roquain, Tabea Rebafka and Nataliya Sokolovska; focusing on controlling prediction error in various ML tasks.

Research

Full list: Google scholar

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Contact me at amarandon-carlhian at turing dot ac dot uk