Andrew Beam, PhD is an instructor within the Department of Biomedical Informatics at Harvard Medical School. His research develops and applies machine-learning methods to extract meaningful insights from massive clinical datasets. He earned his PhD in bioinformatics for work on neural network models of genome-wide association studies. His current work has special focus on machine learning for neonatal/perinatal medicine, but the unifying theme of all of his research is the use of data-driven models to improve decision-making in healthcare.
BMC bioinformatics, November 21, 2014
Journal of pharmacogenomics & pharmacoproteomics, March 1, 2014
Reproductive toxicology (Elmsford, N.Y.), December 9, 2011
Dose-response : a publication of International Hormesis Society, June 25, 2010
Journal of toxicology and environmental health. Part B, Critical reviews, February 1, 2010