Thursday, March 29, 2018, 4:00pm to 5:00pm
Sherman Auditorium @ BIDMC, East Campus (330 Brookline Ave, Boston MA)
1. Describe the current state of artificial intelligence in natural language processing and how these approaches can learn from large sources of unlabeled data.
2. Understand how deep learning can be used to predict drug resistance status in Tuberculosis.
BIO: 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.