RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.

Accept
Daniel Brannock
Experts

Daniel Brannock

Research Data Scientist

Education

MS, Analytics, North Carolina State University
BS, Chemistry, University of North Carolina at Chapel Hill

Connect

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.

Get in Touch

To speak to this expert or inquire about RTI services, you can reach us at +1 919 541 6000 or use the contact form below. For media inquiries, please reach out to our Media Relations team at news@rti.org.

Blue background circle graphics