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Roch Nianogo is an Assistant Professor in the Department of Epidemiology at the UCLA Fielding School of Public Health. He is a physician-scientist and epidemiologist who focuses on developing and utilizing innovative epidemiological and econometric causal inference methods through his research lab, CiPreme (Causal Inference Preventive Medicine Epidemiology). His primary research interest is aimed at investigating the impact of lifestyle, metabolic, and social interventions to prevent chronic diseases, translating evidence into effective clinical and public health policy interventions. His methodological expertise includes advanced epidemiological tools such as population impact assessment methods, longitudinal analytics, quasi-experimental designs, and predictive modeling, including machine learning techniques. Substantive areas of his work cover chronic disease prevention and treatment, including cardiovascular diseases, diabetes, obesity, cancer, and Alzheimer's-related dementias, with a goal to reduce health disparities. Dr. Nianogo holds an MD in General Medicine from Université de Ouagadougou, Burkina Faso, an MPH in Community Health Sciences from UCLA, and a PhD in Epidemiology from UCLA. He also completed a post-doctoral fellowship in systems science modeling at UCLA.
Department of Economics admits primarily for the PhD program.