Dr. John Graff

Assistant Professor

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Biography

John Graff is an Assistant Professor in the Division of Hematopathology Informatics at UC Davis Health. He is actively accepting new patients and specializes in hematopathology informatics. Dr. Graff applies his board certifications in anatomic pathology, clinical pathology, hematopathology, and clinical informatics to accurately diagnose patients and provide access to optimal treatments. He considers a holistic view of patients by integrating biopsies and laboratory data into his diagnostic process. His academic interests include training a new generation of physicians in technology that improves patient care and leveraging his expertise in machine learning to classify the causes and types of Alzheimer's dementia. He has also published work addressing the impacts of the COVID-19 pandemic on the hematologic system, providing valuable insights into the diagnosis and treatment of critically ill patients. Dr. Graff completed his Bachelor's degree at Vanderbilt University, followed by a Doctor of Osteopathy degree at Lincoln Memorial University. He completed his residency in Anatomic and Clinical Pathology at UC Irvine Medical Center and further specialized in Hematopathology through a fellowship at UC Davis Medical Center.

Research Interests

Experience

Assistant Professor

— Present

UC Davis Health • Sacramento, CA

Teaching and providing expertise in hematopathology informatics.

Awards

#

Fellow Teaching Award

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Chief Resident

Requirements for University of California, Davis

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:80
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree in Computer Science or related field ECS 120 (Theory of Computation) ECS 122A (Algorithm Design and Analysis) ECS 140A (Programming Languages) or ECS 160 (Software Engineering) ECS 150 (Operating Systems) or ECS 154B (Computer Architecture)
Application Checklist
  • Online application
  • Application fee
  • Three letters of recommendation
  • Transcripts
  • Statement of Purpose
  • Personal History Statement
  • CV/Resume
Specialization Notes

Department of Computer Science. GRE is NOT required.