Christopher Haiman, ScD

Professor of Population and Public Health Sciences; AFLAC Chair in Cancer Research



Christopher Haiman, ScD, is a professor of preventive medicine at the Keck School of Medicine of USC and AFLAC Chair in Cancer Research. He also leads the Cancer Epidemiology Program at USC Norris Comprehensive Cancer Center and the Epidemiology and Genetics division in the Department of Preventive Medicine. Dr. Haiman is a genetic epidemiologist whose research is focused on exploring racial and ethnic disparities in cancer risk, with the goal of developing approaches to reduce these disparities. He is co-principal investigator of the Multiethnic Cohort (MEC), a large prospective study of cancer in primarily non-European ancestry populations (n>215,000) that has been the foundation of his scientific investigation into the genetic risk of cancer, initially through genome-wide association studies (GWAS) and more recently in large-scale genomic consortia in minority populations that employ next-generation sequencing technology. In addition to these leadership and administrative research positions, he has vast experience in directing large consortia and is currently the scientific leader of the African Ancestry Prostate Cancer Consortium (AAPC). He has also served as a steering committee member for numerous NIH consortia, including the NCI GAME-ON Consortium, NHGRI Population Architecture Using Genomics and Epidemiology Consortium (PAGE), NHGRI Gene Environment Association Studies (GENEVA) Consortium and the NCI Breast and Prostate Cancer Cohort Consortium (BPC3). He is also the principal investigator of the RESPOND African-American prostate cancer initiative. He has co-authored more than 450 peer-reviewed publications, with many in prominent journals, including Nature Genetics, The New England Journal of Medicine and Journal of the National Cancer Institute.

Research Interests

  • Population Characteristics
  • Disparities
  • Racial Disparities
  • Ethnic Disparities
  • Health Care Disparities
  • Chronic Conditions
  • Risk Factors
  • Race
  • Ethnicity
  • Cancer
  • Lifestyle
  • Molecular Epidemiology
  • Cohort Studies
  • Genetics
  • Cancer Epidemiology
  • Genomic Data Sciences