I am an entrepreneurial biotech leader with a passion for building and nurturing high-performing teams. Trained as a full-stack experimental and computational scientist, my research spans functional genomics, RNA regulation, nucleic acid methods development, structural biology, AI, and bioinformatics. I have unique, multifaceted expertise applying cutting-edge machine learning to advance drug discovery and biology. 

I am currently a Founding Scientist and Head of Bioscience at Atomic AI, a startup accelerating the discovery of RNA-targeting and RNA-based medicines using a platform that integrates machine learning and high-throughput experiments.

I did my Ph.D. at Stanford University in the department of Computer Science and was based in the lab of Roger Kornberg. I was an Accel Innovation Scholar and a NDSEG Fellowship winner.

I wrote a highly cited paper proposing that the two-meter-long human genome folds inside the microscopic cell nucleus through a novel mechanism of loop extrusion, and used molecular dynamics simulations and CRISPR gene editing to engineer genomes in 3D. The loop extrusion model was subsequently confirmed by others in single-molecule experiments.

I majored in mathematics and minored in computer science at Harvard, and also completed a masters degree at New England Conservatory, where I studied flute performance with Paula Robison.

LinkedIn profile

Google Scholar profile

Twitter: @AdrianSanborn

Contact: a <at> adriansanborn.com