Lauren Beaudin, MPH, is a public health professional whose work focuses on epidemiology, health equity, scientific communication, and healthcare data. As a Fellow at ConductScience, she contributes to interdisciplinary research, scholarly publishing, and peer review while supporting initiatives that enhance public awareness, understanding, and engagement with scientific research. She also serves as Course Director for AMSA’s Machine Learning in Healthcare Scholars Program, leading educational programming on the application of machine learning and artificial intelligence in healthcare. Her research interests include health disparities, population health, and data-driven approaches to improving health outcomes. Lauren holds a Master of Public Health in Global Health and dual bachelor’s degrees in Biology and Anthropology.