Research
My areas of interest include sequential decision making, uncertainty quantification, machine learning for mathematics, proof assistants, theoretical machine learning and category theory.
I am an avid mathematician with an interest in formal verification.
I program in Lean and am a contributor
to Lean's mathlib
library. I also write proofs in Isabelle.
I won the inaugural LLMxLaw hackathon at Cambridge
which was part of the Stanford CodeX initiative
- you can read about our tool here.
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