Biography

I am a researcher interested in how machine learning can eludicate some of the biggest open questions in fundamental science. Currently, I focus on developing novel generative AI approaches to molecular design, building on the advances of AlphaFold to develop new therapeutics and better understand complex biological systems.

Previously, my research explored emergence in high-energy particle physics, studying a remarkable phenomenon known as QCD confinement in which intricate many-body interactions between quarks and gluons give rise to nearly all the mass in the visible universe. I developed novel approaches to analyze data from the Large Hadron Collider, including employing machine learning and quantum computing, to capture clues about how these complex dynamics arise.