Algorithmic searchfor physical novelty

I’ve spent the past decade developing a deep understanding of the structure of natural solution spaces and building algorithmic approaches to discover novelty within them. I studied computer science and AI at MIT and earned my PhD in Mathematical Biology at Harvard. I co-founded Dyno, one of the first life-sciences companies built with AI at the core of its thesis, to design novel viruses that target tissues with unprecedented precision and empower people to act on their own genomes.