I am a postdoc research associate at the Turing Institute, working as part of the Turing-Roche partnership on developing new statistical methods within conformal prediction 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.
Research interests: selective inference, conformal inference, multiple hypothesis testing
Selecting informative conformal prediction sets with false coverage rate control, Ulysse Gazin, Ruth Heller, Ariane Marandon and Etienne Roquain. In revision at Journal of the Royal Statistical Society Series B.
FDR control and FDP bounds for conformal link prediction, Gilles Blanchard, Guillermo Durand, Ariane Marandon and Romain Périer.
Conformal link prediction with false discovery rate control, Ariane Marandon. TEST.
Adaptive novelty detection with false discovery rate guarantee, Ariane Marandon, Lihua Lei, David Mary and Etienne Roquain. Annals of Statistics.
False selective rate control in mixture models, Ariane Marandon, Tabea Rebafka, Etienne Roquain and Nataliya Sokolovska. In revision at Scandinavian Journal of Statistics.
Contact me at amarandon-carlhian at turing dot ac dot uk