Wednesday, February 21, 2024 2pm to 3pm
About this Event
8 E Packer Ave, Bethlehem, PA 18015
https://health.lehigh.edu/faculty/career-opportunitiesThe candidate is an assistant professor of public health. They are an epidemiologist and tobacco researcher. Their research focuses on substance use and addiction among young population specifically novel tobacco products - waterpipe (hookah) and electronic cigarettes, and the co-use patterns and trajectories of tobacco and marijuana. They conducted several epidemiologic research methods including multilevel and longitudinal study design, experimental design, and complex survey analysis. Their past research was funded by NIH NIDA. Their current research work focuses on improving causal inference in tobacco research by applying advanced, theory-based frameworks such as the Potential Outcomes Framework and detecting bias in tobacco research by applying data science and machine learning methods. The candidate's research will advance tobacco regulatory science by improving the current causal inference frameworks and incorporating modern data science methods into tobacco research. They are also a social epidemiologist and have research interests in the impact of the social determinants of health on tobacco and marijuana outcomes (use and addiction). They teach several introductory to advanced biostatistics courses, methods in epidemiologic research, and spatial epidemiology at the undergraduate and graduate level.
Talk Title: Applying a Modern Causal Inference Framework to Tobacco Research Using a National Dataset in the United States.
Abstract: Causal inference in epidemiology is a fundamental topic and the main goal of epidemiologic population-based research. However, establishing causality is challenging and requires modern approaches that take into account the complexity of causal pathways and the assessment of the impact of bias on the exposure-outcome relationship. This research will discuss the Potential Outcomes Framework as a better approach to causality and its application in tobacco research using national survey dataset.
0 people are interested in this event