
Episode #8
So You Want to Design a Genome - with Samuel King, Stanford
What happens when you train an AI model not on the internet, but on millions of genomes? Samuel King, a PhD candidate at Stanford, working at the intersection of AI and bioengineering, joins host Flo Lumsden to unpack it — including how his team used AI to generate the first fully functional bacteriophage genome from scratch, and why that could mean far more targeted treatments for antibiotic-resistant infections. They also get into the designer baby question and what makes a PhD less narrow than people assume. Recorded live at SynBioBeta 2026, where the scientists, the machine learning crowd, and (increasingly) the compute giants all show up to compare notes. About Samuel King: Samuel King is a Ph.D. candidate in Bioengineering at Stanford University and the Arc Institute. His current research aims to advance human and planet health by leveraging large language models trained on DNA for biological discovery and design. He previously co-founded a genomics biotech start-up and received an M.S. from Stanford and B.Sc. from the University of British Columbia. Connect with Samuel: Website Linkedin

