I build safe, secure, and reliable AI and autonomous systems for critical environments. Most of my work sits at the intersection of research and engineering, with a focus on systems that have to work reliably in the real world.
- safe, secure AI and autonomous systems
- AI alignment, robustness, and runtime assurance
- onboard and edge intelligence for spacecraft and remote systems
- neuromorphic computing and adaptive learning
- robotics and physical-world autonomy
- model compression, quantization, and deployment
Engineering contributions merged into OpenAI, Google DeepMind, and The Alan Turing Institute codebases, spanning agent runtime safety, sandbox and tracing integrity, multi-agent systems, and scientific ML infrastructure.
171 merged upstream PRs across 26 upstream repositories · 690 distinct upstream PRs reviewed
AI and ML
Acceleration and deployment
Robotics and perception
Hardware and edge
Space systems
Engineering and research
