I am an Assitant Professor of Information Systems at Arizona State University, W.P. Carey School of Business.

I work on the economics of networks, exploring their roles within large-scale social and information systems, and understanding their wider societal implications. I am also affiliated with Cornell’s Artificial Intelligence, Policy, and Practice (AIPP) initiative.

I am interested in

• Information Diffusion and Contagion. Exploring how information and contagion diffuses in networks and how to remediate it. Examples include financial contagion (paper1, paper2, paper3), and supply chains.
• Privacy Preserving AI. Exploring how agents learn in a distributed way subject to privacy considerations. Examples include learning with continuous state spaces, and discrete state spaces.
• Network Models. Exploring how (hyper)-graphs form. Examples include learning the structure of core-periphery graphs and hypergraphs.
• LLMs for Social Science. Exploring the capabilities of LLMs in social science, simulating human behavior, and simulating complex socio-technical systems. Recent examples include network formation with LLM agents, and collective decision-making.

I hold a Ph.D. in Computer Science from Cornell University; where I had the fortune to be advised by Jon Kleinberg.

In the past, I have closely collaborated with the Office of Applied Research at Microsoft Research, and the User Modeling Research Team at Twitter Cortex (now X), and have also contributed to the open-source statistical sampling software volesti.

My research has been supported by an Onassis Scholarship, a LinkedIn Ph.D. Fellowship, a grant from the A.G. Leventis Foundation, a grant from the Gerondelis Foundation, and a Cornell University Fellowship.

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Contact

e-mail: mpapachr (at] asu [dot) edu