I am a Senior Economist in the Office of the Chief Economist at Microsoft, studying markets for AI inference, digital markets, and organizations.
Work and research
Much of my current research focuses on the markets that supply AI inference, from hardware and cloud infrastructure to model services, and on how those markets are priced, differentiated, and used. I also study digital marketplaces, auctions and matching, organizational learning, productivity, and causal methods for complex treatments.
I completed my PhD in Economics at UC Berkeley, where I focused on industrial organization and econometrics. Across projects, I combine structural microeconomic models with causal inference, machine learning, and large-scale data.
My recent work centers around settings where institutional details matter, markets are new, data are unusually rich, or an important friction is missing from the standard model.
Beyond economics
In my spare time, you might find me backpacking, cooking, snowboarding, or exploring new hobbies. Woodworking and stained glass being the most recent additions. For your next adventure, I highly recommend Emigrant Wilderness, as well as Kirkwood in the winter (avoid the traffic).
Contact
For research collaborations, seminar or conference invitations, and media inquiries, the best way to reach me is at ntadelis@berkeley.edu.