Giulio Trigila

My background is in Physics (M.S.) and Mathematics (Ph.D.) with a focus on applied probability and numerical optimization. My research focuses on applications of optimal transport to machine learning and statistics. Some of the topics I have been working on are: optimal transport normalizing flows and relative generative models, conditional density estimation, treatment effect estimation, data augmentation, explanation of variability, anomaly detection, factor discovery, dimensionality reduction, normalization of data sets, predictive modeling, importance sampling.