My research focuses on developing statistical methodology for data analysis in the physical sciences. I am currently a postdoc in the STATMOS network working on spatio-temporal models for climate science applications. I completed my PhD in July 2016 at EPFL working on uncertainty quantification in statistical inverse problems arising in the analysis of particle physics data at the Large Hadron Collider at CERN. My previous research includes work on variational Bayesian learning and semi-supervised anomaly detection.
Last update: 10/4/16