Clara is a Postdoctoral Scientist who has joined the group in January 2017, after completing a double PhD in Applied Mathematics and Statistics in Université Paris-Dauphine and Sapienza Università di Roma, where she studied methods to perform Bayesian inference for complicated models, such as dependence and mixture models. She is currently involved in studying the mechanisms of development of drug resistance in Mycobacterium Tuberculosis, by using genome-wide association studies. In her work, she tries to use both frequentist and Bayesian methodologies to work with large datasets.