Ulysses Gregory John Balis, MD

Dr. Balis is professor of Pathology at the University of Michigan and currently serves as the director of the Division of Pathology Informatics, in the Department of Pathology. He is a board-certified Pathology Informaticist, with longstanding interest in the intersection of computational approaches and the practice of medicine. This division he directs is noteworthy for being one of the few such academic information technology divisions operating in support of pathology while being housed wholly within the pathology department itself. 

He has active, NIH R01-supported research initiatives in several areas of pathology and medical informatics, including machine learning and use of encoded data, image-based analytics, machine vision tools for histopathology, image-based search algorithms and federated enterprise data architectures, with all of these areas serving as rich training substrate for a growing and thriving pathology informatics fellowship at one of only five such programs in the U.S. 

Dr. Balis has had a longstanding interest in pathology informatics education, and currently serves as a standing member on the Clinical Informatics Subspecialty Boards Exam Committee. Dr. Balis is the author of over 100 publications, multiple patents, numerous book chapters and is co-editor of a contemporary text on the topic of Pathology Informatics (along with Drs. Mark Tuthill and Liron Pantanowitz). He has delivered over 180 invited presentations, nationally and internationally, on various topics related to: pathology informatics, image analysis, data analytics and automation.

 Patient safety improvements in the clinical laboratory, automation and real-time specimen tracking, whole-slide microscope and telepathology, digital imaging solutions for surgical pathology.

University of Michigan Health participates with most health insurance plans.

Numerical analysis and interpretation of digital histological (whole-slide) data sets in tandem with expression data and other high-order data, Vector Quantization (VQ) tools and Gallois Fields, design of support vector engines for automated region-of-interest based image repository query.