
Keith Dookeran
Visiting Associate Professor · Cancer Epidemiology
University of Wisconsin-MilwaukeeAbout
Keith Dookeran is an Associate Visiting Professor in the Department of Epidemiology at Zilber College, University of Wisconsin-Milwaukee. He holds multiple advanced degrees including a PhD in Public Health Sciences from the University of Illinois at Chicago, an MBA from the University of Chicago Booth School of Business, an MD from the University of Leicester, and an MBBS from the University of the West Indies. With over 20 years of experience in epidemiology, his expertise spans cancer, health disparities, data analysis, health policy, and global health.
Research Focus
Dr. Dookeran's research investigates health disparities through advanced epidemiological methods, with emphasis on:
- Cancer epidemiology: Racial/ethnic disparities in breast cancer outcomes and molecular subtypes
- Perinatal health: Neonatal abstinence syndrome and preterm infant care economics
- Environmental health: Chronic cadmium/lead exposure impacts on cognition and Alzheimer's
- Health services: Insurance cost structures and global health implementation challenges
- Quantitative methods: Mediation analysis of socioeconomic factors in disease outcomes
Publication Trends
His recent articles (2020-2025) demonstrate a strong focus on disentangling racial, socioeconomic, and geographic health disparities using large-scale datasets (SEER-MHOS, TCGA). Key themes include mediation analyses of environmental toxins on neurodegeneration, econometric evaluations of neonatal care, and molecular epidemiology in breast cancer. Methodologically, he employs regression modeling, cost-benefit analysis, and biomarker validation across diverse populations.
Awards
No scientific awards are mentioned in available sources.
Teaching and Advising
At Zilber College, he teaches core epidemiology courses including PH704 (Principles and Methods of Epidemiology), PH804 (Advanced Epidemiology Methods), and PH759 (Regression for Social Determinants of Health). His pedagogical approach emphasizes quantitative literacy and real-world data application. No doctoral advisees are listed in available materials.
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