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
Contributing engineering work to OpenAI's Agents and Google DeepMind's Melting Pot, with merged changes across agent reliability, runtime safety, sandbox security, tracing and provenance, and multi-agent systems.
119 merged contributions
AI and ML
Acceleration and deployment
Robotics and perception
Hardware and edge
Space systems
Engineering and research
