Parand Akbari

I am an Economics Ph.D. Candidate at Carnegie Mellon University’s Tepper School of Business.

My research studies the economics of AI adoption and diffusion at the intersection of corporate finance, asset pricing, and labor economics. I construct disclosure-based measures of AI deployment to study firm value, financial markets, and internal labor markets.

I also develop machine-learning and deep-learning methods for scientific computing and high-dimensional economic models.