Daniel Herman, MD, PhD

Daniel Herman, MD, PhD, is a physician-scientist interested in scalable, safe, and effective AI-triggered decision support. He completed his MD and PhD degrees at Harvard Medical School and trained in Clinical Pathology at the University of Washington. He is now an Assistant Professor at the University of Pennsylvania, where he is a practicing clinical pathologist and biomedical informatics researcher. Dr. Herman directs one of clinical chemistry laboratories at the Hospital of the University of Pennsylvania.

His research group focuses on leveraging electronic health record data to improve screening for underdiagnosed diseases, such as primary aldosteronism. This includes training clinical prediction models; upstream computational method development to learn more interpretable, fair, robust, and transferable models; and downstream design and evaluation of model-triggered decision support in pragmatic trials.