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I work on physical AI: methods for scientific and engineering systems where learning has to respect geometry, dynamics, and physical constraints.
I move between robotics, control, generative modelling, physical simulation, and design optimization, usually starting from first principles and ending in code.
The threads I keep returning to are:
- dynamical systems, control, and planning
- structured generative modelling
- scientific emulation and forecasting
- molecular and materials design
- agentic optimization
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