Research

Statistics and Machine Learning. Proper Scoring Rules, Probabilistic Forecasting and Estimation, Irregularly Sampled Data, Graphical Models, High-dimensional Statistics, Functional Data Analysis, Covariance Estimation from Incomplete Data.

Analysis. Reproducing Kernels, Extreme Points of Positive Matrices, Positive-Definite Completions.