Chief Scientist at Asymmetric Security, building the future of cyberdefense and incident response.
Previously, Director of Software Engineering at Salesforce, leading RL post-training for GUI agents in Agentforce — via the Convergence acquisition, where I was a founding team member building frontier browser agents. Before that, Research Scientist at Spotify, and PhD at the University of Cambridge in collaboration with Microsoft Research.
I am a machine learning researcher working on reinforcement learning, autonomous agents and AI safety/security. My experience spans developing new algorithms, training models, and deploying agents at scale. I am interested in how increasingly capable AI systems can pursue complex goals while remaining reliable and aligned with human intent, and most recently how these capabilities can strengthen defensive cybersecurity.
Recent News
- Apr 2026
Joined Asymmetric Security as Chief Scientist to build the future of cyberdefense and incident response.Asymmetric Security
- May 2025
We're being acquired by Salesforce! I'll be joining as a Director of Software Engineering to continue our work building the future of computer-using agents.Announcement
- Dec 2024
Our first agent Proxy has achieved state-of-the-art results (82%) on the WebVoyager benchmark!Post
- Sep 2024
Joined Convergence Labs Ltd. as a Member of Technical Staff! We're a seed-stage startup building a future of abundance by automating workflows with AI.Convergence
- Sep 2024
New work accepted to NeurIPS 2024: "Discovering Preference Optimization Algorithms with and for Large Language Models"!Paper
- May 2024
"Dense Reward for Free in Reinforcement Learning from Human Feedback" accepted to ICML!Paper