Algorithms for Games, Markets, and Forecasting

Hi, I’m Deni. I am the founder of Simulacrum, a time-series foundation model research and deployment company.

I am an artificial intelligence researcher working at the intersection of economics and computer science. My research focuses on multiagent learning, game theory, and computational economics, with an emphasis on building algorithms for games and markets and applying them to problems in economics, forecasting, and robotics. More recently, my work has centered on AI superforecasters: forecasting models that adapt under distribution shift. My broader research agenda explores the design of structural and universal forecasters that unify ideas from modern deep learning, multiagent learning, and econometrics, with the long-term goal of enabling large-scale simulations of human behavior to improve forecasting, planning, and policy-making.