I am very interested in generative machine learning, and sampling algorithms.
In the past, I worked in structure-based protein design at Dreamfold, and I was a postdoctoral researcher at Mila, working on GFlowNets, and other generative machine learning methods.
Before that, I worked in astrophysics. I got a Ph.D. from the University of Cambridge. I co-lead the accelerated forward modelling group at the Simons Collaboration in Learning the Universe, and also contributed to the cosmological analyses of the Dark Energy Survey (DES), and the Planck Collaboration.
If you want more information on my papers, to collaborate in a project, to organize an outreach activity, or anything else: