Yigit Yucesan is a postdoctoral research associate at the Oak Ridge National Laboratory (ORNL), where he works on developing machine learning methods for complex system prognostics. He earned his PhD in mechanical engineering from the University of Central Florida, where his dissertation focused on building physics-informed neural networks for industrial equipment prognostics and health management.