David Wang

Bachelor's

Computer Engineering

Princeton Plasma Physics Laboratory (PPPL)

Intern

Developed statistical and deep learning models using TensorFlow to identify plasma instabilities in nuclear fusion reactors; Accelerated hyperparameter tuning by 10x using Bayesian search & early stopping, parallelizing tasks on computer cluster; Trained model on 4 million data points and 26 features from DIII-D National Fusion Facility to reach R-squared of 0.95; Authored 17-page research paper on applications of machine learning in predicting nuclear fusion heating profiles;