This is a now page inspired by Derek Sivers' and Guy Spiers'
What I'm currently interested in learning?
Continual learning, open-ended learning and learning temporal abstractions
Acetylcholine-dopamine system, serotonergic systems, and opioidergic endogenous analgesia
Pitfalls of any of my research directions
If you think you can help me learn something, please do contact me.
Books:
Currently reading -
Loonshots by Safi Bahcall
The Intelligent Investor by Ben Graham
Fooled by Randomness by Nassim Taleb
48 Laws of Power by Robert Greene
Key motivations in Neuro-AI research are twofold: utilising advancements from AI to generate useful hypotheses for neuroscience and leveraging insights from neuroscience to develop more effective algorithms for AI.
With these motivations in mind, here are some of the questions that motivate my recent work:
Continual Learning:
How should intelligent agents continue to learn new skills and compose them optimally for reliable decision making?
What sort of (temporal) abstractions in our world models best help us learn and plan effectively in new environments?
What optimiser does the brain use? So as to enable efficient learning with local learning rules ...
Safe Natural Intelligence
How do animals keep themselves safe? (e.g. safe exploration and self-preservation)
How can we reverse-engineer our pain system and potentially fix it when it goes awry?
Safe Artificial Intelligence
How can we make intelligent machines that act safely in human-like ways?
How can we understand (unsafe) LLM misbehaviours through the lens of computational psychiatry and social neuroscience?
How can we make AI trustworthy, interpretable, and aligned with human values in human-AI interactions?
AI and computational neuroscience for healthcare
New technologies for better assessment and treatments to improve human health and well-being (with a recent focus on chronic pain)