Andy Beam

Andrew Beam is the head of machine learning at Generate Biomedicines and also an assistant professor at Harvard. His research develops and applies machine learning methods to extract meaningful insights from clinical and biological data sets. At Generate, Andy develops new machine learning algorithms to improve our ability to engineer novel proteins for therapeutic and industrial applications.

Andy has authored or co-authored over 40 scientific manuscripts and is the recipient of a Pioneer Award from the Robert Wood Johnson Foundation for his work on medical artificial intelligence. His research has been featured in journals including Science, the Journal of the American Medical Association, and the British Medical Journal, and it has been covered in the popular press by the New York Times, Vox, and Bloomberg News.

Andy received a PhD in computer science and bioinformatics from North Carolina State University for work on Bayesian neural network models of genome-wide association studies. He completed a postdoctoral fellowship in biomedical informatics at Harvard Medical School working on machine learning models for healthcare data, with special focus on improving the delivery of care for preterm infants in the neonatal intensive care unit.

At North Carolina State University, Andy triple-majored in computer science, computer engineering, and electrical engineering as an undergraduate and also received a master’s degree in statistics.