
Sebastian Calonico Teaches Future Leaders How to Separate Signal from Noise
Applying causal inference to teach smarter business decision-making
From streaming platforms to healthcare systems, organizations wrestle with the same question: What’s working—and what’s just noise? Assistant Professor Sebastian Calonico specializes in causal inference, the data science that separates coincidence from true impact.