Daniel Jarne Ornia

I am a researcher in AI for control and multi‑agent systems, currently a PostDoc at the University of Oxford. I am interested in simulation and study of undesired emergent behaviour in AI agents. Current work includes self-preservation and risk-awareness in reasoning agents, emergence of un-safe dynamics in Multi-Agent AI systems and Bayesian inference for learning simulators of multi-agent systems (Agent-Based Models).

Personally, I spend most of my free time surfing, snowboarding or climbing, I enjoy playing music and I speak a bunch of languages1.

Portrait of Daniel Jarne Ornia

Research Bio

I completed my PhD in Delft under the supervision of Dr Manuel Mazo in 2023. During these years I spent the summer of 2022 at the University of Oxford, working with Prof. Alessandro Abate on robust reinforcement learning problems. My research has ranged from mean‑field approximations for stochastic systems (paper) to communication‑induced uncertainty in multi‑agent systems (paper) and verifiable robustness in RL (paper). Nowadays I am a PostDoc Researcher at the University of Oxford, under the supervision of Michael Wooldridge, Ani Calinescu and Doyne Farmer. I am interested in problems related to decision making under uncertainty, information theory and alignment in Multi‑Agent Systems and Agent‑Based Models.

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Outdoor Stuff

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