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Roch A. Nianogo

Assistant Professor


DepartmentsType of Faculty
EpidemiologyFull Time
Contact Information

650 Charles E. Young Drive South,
66-062B CHS,
Los Angeles, California, 90095

Box 951772
Mail Code: 177220

Areas of Interest: 
  • Epidemiologic and Causal Inference Methods
  • Predictive Modeling and Health Forecasting
  • Computational Modeling and Simulations aka Systems Science
  • Cost-effectiveness Analysis and Decision Analysis
  • Evidence Synthesis and Integration
  • Comparative Effectiveness Research
  • Quasi- and Natural experiments
  • Randomized Controlled Trials and Pragmatic Trials
  • Clinical Preventive Services
  • Evidence-Based Primary Care

Roch Nianogo is an Assistant Professor in the Department of Epidemiology at the UCLA Fielding School of Public Health. He is a physician and scientist of preventive medicine and epidemiologist. Dr. Nianogo’s research strives to help reduce the burden of preventable chronic diseases, promote the health and wellbeing of patients and populations, especially those most vulnerable, and assist clinical, public health and policy decision-making. To this end, Dr. Nianogo has developed research interests that are both methodological and substantive in nature. Methodologically, his research interests involve the development and application of cutting-edge epidemiologic and causal inference methods, as well as computational modeling and simulation tools (aka systems science) for translating research evidence into effective clinical, public health and policy interventions. Substantively, Dr. Nianogo’s work has focused on the improvement of the quality of healthcare, the reduction of health disparities and the prevention and treatment of chronic diseases such as cardiovascular diseases, diabetes and obesity both globally and in the U.S.

PhD, Epidemiology, University of California Los Angeles, Los Angeles, U.S.
MPH, Public Health, University of California Los Angeles, Los Angeles, U.S.
MD, General Medicine, Université de Ouagadougou, Ouagadougou, Burkina Faso