About

Hi, I’m Deni. I am a postdoctoral researcher at Cornell Tech and the founder of Simulacrum, a time-series foundation model research and deployment company. I received my Ph.D. in Computer Science from Brown University, where my work was supported by a JP Morgan Fellowship. During my PhD, I was a research scientist intern at Google DeepMind’s game theory and multiagent team and at JPMorgan AI Research’s multiagent learning and simulation lab, and I was a visiting scholar at UC Berkeley’s Simons Institute. I hold a BA in Computer Science and Statistics from Columbia University and a BA in Political Science and Economics from the Paris Institute of Political Studies (Sciences Po).

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.

Get in touch with me! Email, Github.

You can find my CV here!