Alexander “Sandy” Preiss is a Research Data Scientist with RTI’s Center for Data Science. He combines expertise in machine learning, natural language processing, and simulation modeling with domain knowledge in public health and international development.
Mr. Preiss applies his expertise across a wide variety of projects. He has used simulation modeling, forecasting, and causal inference methods to study the impacts of COVID-19, colorectal cancer screening, and opioid use. He has also used natural language processing to extract insights from unstructured social media data. Mr. Preiss is also adept at data visualization and computing.
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.
