Sella Nevo is a senior software engineer who specializes in machine learning research and development. He is committed to enacting large-scale effective social impact, focusing on global poverty and health. Sella currently leads the Google Flood Forecasting Initiative, which aims to provide scalable high-accuracy high-resolution flood forecasts and warnings globally (see short documentary). His research currently focuses on integrating machine learning models with physics-based models in data-constrained real-world problems. He has previously worked in the fields of natural language understanding and information security, contributing to the ML model behind Google Duplex, and he continues to teach information security at Tel Aviv University to this day.