Harnessing HPC for Clinical Informatics and Digital Pathology

Researcher Highlight: JP Graff

JP Graff, BS, DO, MAS is an Associate Professor in the Division of Hematopathology and Informatics in the School of Medicine. His current research focuses on developing context-controlled large language models designed to assist clinicians in selecting the appropriate laboratory tests and collection methods.

 

jp graff portrait

Dr. JP Graff, a faculty member in the Department of Pathology and Laboratory Medicine at UC Davis, is at the forefront of using cutting-edge technology to enhance medical practice. He relies on High-Performance Computing (HPC) to power his innovative projects, especially during beta testing of the models in Emergency Medicine and Family Medicine. Not only is he a user of HPCCF, he also serves as a member of the HPC Facility Advisory Council, where he plays a crucial role in shaping the future of HPC resources and ensuring they meet the needs of the research community.

One of the grand challenges Dr. Graff mentions is the transition to digital pathology within the UC Davis Department of Pathology and Laboratory Medicine, which poses substantial storage and computational challenges. His collaboration with HPC staff has been invaluable in staying abreast of the latest infrastructure and applications, further enhancing his ability to educate clinical informatics fellows and pathology residents about digital pathology and network management.

Looking forward, Dr. Graff is excited about the potential integration of UC Davis Health HPC with UC Davis Campus HPC to address the growing need for advanced computational methods in health care. He also highlights the importance of energy management in HPC, advocating for sustainable practices to minimize the environmental impact of large data centers.

Tip for your research…

Seek mentorship and guidance: Patience is essential when learning to use HPC resources. Having a mentor or someone experienced can significantly ease the learning curve.