Daniel Brannock is a research data scientist at RTI who currently works with UNC Health to explore the effects of long COVID-19. Through this National Institutes of Health-funded project, he helps identify key traits and symptoms of long COVID and investigates potential risk factors and interventions. Mr. Brannock is adept at exploring extremely large databases with billions of electronic health records. His experience includes leveraging new and established machine learning models and forecasting using classic time series and neural network methodologies.
Before joining RTI, Mr. Brannock was a senior data scientist at Elder Research, a data science consultancy that works primarily with commercial clients. In this role, he helped large and small corporations identify what's possible with their data and execute a strategy to build practical solutions.
