Daniel Jarne Ornia

Biography

Daniel Jarne Ornia is a Postdoctoral Researcher working on modelling multi-agent complex systems, decision making agents with catastrophic risk and Bayesian methods for simulator models. He completed his PhD in control theory and multi-agent systems at the Technical University of Delft (The Netherlands), working on stability and emergence in biologically inspired swarms, formal methods and robustness for multi-agent systems. During this time he was a visiting student in the Computer Science department at the University of Oxford, working on formal methods and robustness for reinforcement learning. More recently, Daniel was a postdoctoral researcher at the Cognitive Robotics department in TU Delft working on predictability of AI agents. Currently, Daniel's interests revolve around studying AI decision making in catastrophic risk environments, and analysing the safety and emergent properties of interacting AI agents through agent-based models, machine learning and game theoretic tools.