James V. Lacey, Jr., Ph.D., M.P.H.

  • Associate Professor and Director, Division of Health Analytics, Department of Computational and Quantitative Medicine

James V. Lacey, Jr., Ph.D., M.P.H.

Research Focus :
  • Expansion of the California Teachers Study
  • Risk factors of gynecologic cancers
  • Post menopausal hormone use and cancer risk
  • Epidemiologic cohort studies
  • Population-health informatics

Dr. Lacey is the director of the Division of Health Analytics within the Department of Computational and Quantitative Medicine at Beckman Research Institute of City of Hope and serves as Principal Investigator for the New Biospecimens to Enhance Research in the California Teachers Study project.

Lacey’s work has been key in demonstrating that women using menopausal progestins and estrogens are more likely to develop uterine and ovarian cancer. He is continuing to investigate how hormones affect the risk of developing uterine cancer, ovarian cancer, breast cancer and other diseases among women.
 
Dr. Lacey received his Ph.D. from the Horace H. Rackham School of Graduate Studies of the University of Michigan. After completing a postdoctoral fellowship at the National Cancer Institute (NCI), Dr. Lacey was an Investigator in the NCI’s Division of Cancer Epidemiology and Genetics from 2001 to 2009. He joined the faculty at City of Hope in 2009; his primary research interest is the epidemiology of breast, uterine, and ovarian cancers.

  • 2018 to present, Associate Professor and Director, Division of Health Analytics, Department of Computational and Quantitative Medicine, Beckman Research Institute of City of Hope, Duarte, CA
  • 2009 - 2018, Associate Professor, Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA
  • 2001 - 2009, Investigator (Tenure-Track), Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD
  • 1998 - 2001, Cancer Research Training Award (Postdoctoral Fellow), Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, MD
  • Department of Computational and Quantitative Medicine
  • Division of Health Analytics

Degrees

  • 1998, University of Michigan, Horace H. Rackham School of Graduate Studies, Ann Arbor, MI, Ph.D., Epidemiologic Science
  • 1995, University of Michigan, School of Public Health, Ann Arbor, MI, M.P.H., Epidemiology
  • 1993, University of Michigan, College of Literature, Science, and the Arts, Ann Arbor, MI, B.S., Psychology as a Natural Science
  • 2009 - present, Editorial Board, Cancer Epidemiology, Biomarkers and Prevention
  • 2006 - present, E2C2 (Epidemiology of Endometrial Cancer Consortium) Steering Committee
  • 2004 - 2009, Breast and Gynecological Malignancies Faculty Steering Committee, NCI
  • 2003 - present, American College of Epidemiology (Member)
  • 2002 - 2009, NIH Intramural Program on Research on Women's Health Steering Committee
  • 2001 - present, Molecular Epidemiology Group, American Association for Cancer Research (AACR)
  • 1999 - present, AACR
  • 2018, NIH/NCI Board of Scientific Advisors
  • 2018, Salesforce Healthcare Research Trailblazer Award
  • 2018, Bensenson Distinguished Lecturer, SDSU Graduate School of Public Health
  • 2005, DCEG Intramural Research Award, Bethesda, MD
  • 2005, NIH Award of Merit, Bethesda, MD
  • 2001, Fellows Award for Research Excellence, NCI, NIH, Bethesda, MD
  • 2000, Division of Cancer Epidemiology & Genetics (DCEG), Fellowship Achievement Award, NCI, NIH, Bethesda, MD
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