Dimitris Tsementzis is a senior quantitative researcher for the Central Machine Learning team at Goldman Sachs, which has a broad mandate to apply ML and AI across the firm. More specifically, he is driving efforts to apply machine learning techniques to automated trading as well as the generation of financial insights. Before joining Goldman Sachs, he was a postdoctoral researcher in statistics at Rutgers University, where he investigated interactions between statistics, machine learning, and geometry. Earlier, he completed his PhD in mathematical logic at Princeton University.