Dr. Musso has a background in molecular genetics (PhD), and did post-doctoral work at Harvard Medical School and Brigham and Women's Hospital on computational and developmental biology. He spent time at a start-up working on real-time machine learning, before joining with others to start BioSymetrics with the aim of tackling the specific challenges of working with biomedical data. He was named one of the top 100 leaders in AI and drug discovery, has authored over 30 peer reviewed publications, and as a grad student received the Jennifer Dorrington award for research excellence.