Sandy Preiss

Alexander “Sandy” Preiss is a data scientist for RTI’s Center for Data Science. He currently works on several projects using agent-based models to simulate health outcomes, including COVID-19 hospitalizations and colorectal cancer incidence. He is skilled in building models using a variety of machine learning and simulation methods, visualizing data in interactive dashboards, and applying domain knowledge in public health and international development. Prior to joining RTI, Mr. Preiss managed the evaluation of public health interventions at the American Cancer Society and Ipas. He helped diverse stakeholder groups use data to make decisions, develop strategies, and answer research questions.