I am an assistant professor in the Decision, Risk, and Operations Division at Columbia Business School. I work on data-driven decision making for social impact. My research develops statistical methodology to address challenges in public health and economic development, combining tools from machine learning, causal inference, and optimization.

I completed my PhD in Computer Science at Stanford University. Prior to my doctoral studies, I received Bachelor of Science degrees in Computer Science and Mathematics at MIT.

Outside of research, I love to practice yoga, run, swim, and read.

I am excited to collaborate with PhD and Master’s students at Columbia University! You can email me at r.sahoo [at] columbia [dot] edu.