Konstantinos Spiliopoulos

An applied mathematician whose research develops algorithmic and computational methods for machine learning, including mean-field analysis of neural networks and uncertainty quantification in deep learning. He also studies stochastic processes, multiscale methods, and large deviations, with applications in financial mathematics and statistical network modeling.