Pacific Northwest National Laboratory
Richland, Washington, United States

Draguna Vrabie is Chief Data Scientist and Team Lead with the Data Sciences and Machine Intelligence Group at PNNL. Her work at the intersection of control system theory and machine learning is aimed at design of adaptive decision and control systems. Her current focus is on methodologies and algorithms for design and operation of high-performance cyber-physical systems. Prior to joining PNNL in 2015, she was a senior scientist at United Technologies Research Center, East Hartford, Connecticut. Draguna holds a Ph.D. in Electrical Engineering from the University of Texas at Arlington, and an M.E. and B.E. in Automatic Control and Computer Engineering from Gheorghe Asachi Technical University, Iaşi, Romania. She co-authored two books on optimal control, reinforcement learning, and differential games; has published over 50 peer-reviewed journal articles and conference papers; and holds 3 patents. She is a member of the IEEE.