PhD Student

Erika Sottocorno

PhD student from 2025. Master’s at Milano-Bicocca (with D. Gerosa) on machine learning for stellar evolution. Her research focuses on gravitational-wave population inference with machine learning: simulation-based inference to constrain binary population models from gravitational-wave observations, combining Bayesian inference with neural density estimation. She has also published on electromagnetic searches for massive black hole binaries.