I'm a postdoc in the RainML lab at Oxford, advised by Tom Rainforth. Much of my work focuses on addressing a key shortfall in modern machine learning: while we have powerful methods for using data, we lack comparably capable methods for acquiring good data in the first place. I also work on foundations of uncertainty, including how it is often misused and how it can be better conceptualised and applied. More broadly I try to identify implicit assumptions that are limiting the value that machine learning brings to the world, and then develop positive visions of how else we could do things.
