Understanding complex systems with computational power and interdisciplinary science
Our lives are governed by complex connected systems, and Schmidt Science Fellow Sahil Loomba has made it his life’s work to understand them. He is taking an interdisciplinary path, combining computation, statistics and machine-learning approaches to improve the world we live in