I am a leading researcher in foundational AI and information security. My recent works include a breakthrough result on the 25+ year old problem of perfectly secure steganography, which was featured by Quanta Magazine. During my Ph.D., I helped establish the field of cooperative deep multi-agent reinforcement learning, resulting in popular learning algorithms such as QMIX, MACKRL, IPPO, and FACMAC, and the standard benchmark environments SMAC and Multi-Agent MuJoCo.

I am currently a postdoc with FLAIR at the University of Oxford, and a visiting researcher with Turing Award-winner Prof. Yoshua Bengio at MILA (Quebec). Previously, I completed my DPhil (Ph.D.) “Coordination and Communication in Deep Multi-Agent Reinforcement Learning” with Prof. Philip Torr (Torr Vision Group) and Prof. Shimon Whiteson (WhiRL), which won an EPSRC IAA Doctoral Impact Fund Award and is, according to my examiner Prof. Frans Oliehoek, a “standard reference in the field”.

I hold distinguished masters degrees in Physics, as well as Computer Science (both University of Oxford), during the latter of which I proved an open incompleteness theorem in categorical quantum mechanics (the completed ZX-calculus is now a mainstream tool in quantum computing).

In 2022, I was selected as a “30 under 35 rising strategist (Europe)” by Schmidt Futures International Strategy Forum and the European Council on Foreign Relations. I also received a Best Idea award from the CCAI community in 2019 for work on solar geoengineering and deep multi-agent learning.

Supervision

Please contact me if you are interested in working with me. I supervise undergraduate projects, master’s theses, and co-supervise Ph.D. projects in a wide range of topics in both deep multi-agent learning, and information security.