Dr. Kord M. Kober, PhD is an associate professor at the University of California San Francisco (UCSF) School of Nursing. He has expertise in systems biology, genomics, bioinformatics, and data science.

As part of his transdisciplinary program of research, Dr. Kober applies data-integrated and machine learning approaches to identify the phenotypic and molecular mechanisms that underlie and predict the severity of symptoms (i.e., cancer-related fatigue and chemotherapy-induced peripheral neuropathy) associated with cancer and its treatment.

Dr. Kober is the principal investigator for the project "An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach", which is funded by the National Cancer Institute as a Method to Extend Research in Time (MERIT) (R37) Award.

He has served as principal investigator and co-investigator in several patient centered outcome research projects funded by the American Cancer Society, National Cancer Institute, National Institute on Drug Abuse, National Institute of Allergy and Infectious Disease, and the National Science Foundation.

Dr. Kober’s trainees evaluate for the molecular mechanisms of numerous patient reported outcomes, including nausea, shortness of breath, symptom clusters, anxiety, sleep, and cognitive impairment. Dr. Kober is a member of the UCSF Helen Diller Family Comprehensive Cancer Center and as a faculty member in the UCSF Bakar Computational Health Sciences Institute.