Claire Glanois

Postdoc
I am a mathematician, previously working at the intersection of number theory and algebraic geometry.
My current research is looking at how agents may learn, adapt, self-organise, and learn to learn, in a more open-ended way.
I am also interested in making AI algorithms more interpretable, notably through neuro-logic approaches.
In parallel, I am sensitive to algorithmic.{plurality, normativity, transparency}, and experiment with ways for artificial agents to be more diverse, situated, and homegrown.