Matthew McDermott, PhD

Dr. Matthew McDermott received his PhD in Computer Science from MIT, working with Professor Peter Szolovits on clinical and biomedical representation learning; in particular injecting prior domain knowledge and leveraging unsupervised data to build clinically meaningful representations of medical and biological data modalities. His research has investigated topics ranging from semi-supervised biomedical regression problems leveraging partially labeled data; domain-specific pre-training methods for clinical language, intensive care unit numerical timeseries, and protein sequences; and novel frameworks for inducing inductive bias into pre-training algorithms. Prior to his PhD, Matthew studied mathematics at Harvey Mudd College for his undergraduate degree, and worked as a software engineer in data engineering at Google.