Research
Research in machine learning architecture for autonomous systems, computational neuroscience and quantitative finance.
Areas
- Embodied and autonomous systems
- Machine learning architecture for robotics and autonomous systems, from the model down to the chip it runs on.
- Computational health
- Computational cognitive neuroscience and neurology, in-silico drug and treatment simulation, cancer modelling and disease prediction.
- Computational economics
- Quantitative finance: high-frequency trading, market analysis and trading strategies.
Papers and projects
Papers in progress. They will live here and on GitHub.