Dr. Zhang is a board-certified clinical medical physicist, practicing in the Department of Radiation Oncology at University of Michigan. He joined the department in 2022. He received his PhD from the University of Colorado Boulder, followed by a medical physics research fellowship at Mayo Clinic Rochester and residency training at University of Pennsylvania.

Dr. Zhang's research focuses augmenting learning health system infrastructure via natural language processing. Additionally, he is interested in workflow optimization, particularly through the implementation of advanced ClinOps analytics. He holds Epic certifications in Cogito, Caboodle Data Model, Clarity Data Model, and Access Data Model.

Dr. Zhang has published extensively and served on national committees within the American Association for Physicists in Medicine (AAPM). He has a keen interest in enhancing the medical physics talent pipeline to foster growth and innovation.

Data curation and transfer are foundational to clinical care. Radiation oncology has been on the frontier of utilizing a multitude of clinical data, including radiologic, pathologic, and genomic information, which are oftentimes embedded in unstructured clinical notes. I am interested in developing natural language processing (NLP) infrastructure, workflow, and modeling methods to extract critical information at scale.