Creating a vaccine typically takes a lot of trial and error and testing. However, with machine learning and data-driven modeling, physicians can have a leg up in targeting specific vaccines. Since 2010, Andrew Ferguson, now an assistant professor of materials, science, and engineering at the University of Illinois, has applied statistical mechanical tools to develop data-driven models of HIV viral fitness landscapes for computational vaccine design. This is another way that technology is making health care more personalized.
Professor Ferguson holds a PhD in chemical and biological engineering from Princeton University and was a postdoctoral fellow at MIT. He joins host Mike Koon to discuss how machine learning and data driven modeling has changed the way we understand biological materials, specifically targeting data-driven computational vaccine and design, based on a presentation he made at the recent Share the Vision: Innovation and Startup show case on the Illinois campus.