BIOGRAPHY
I am a first-year PhD student in Computer Science at Northeastern University, advised by Rose Yu. My research interests include spatiotemporal learning and physics-informed deep learning.
Education
Experiences
- Researched the challenging task of spatiotemporal modeling of nonlinear turbulent flows.
- Developed novel physics-informed deep learning models for turbulence predictions.
- Collaborated with Abiomed Inc., and studied the applications of deep sequence models on the task of long-term forecast of patients’ Aortic Pressure and Heart Rate.
- Applied deep sequence models to the estimation of Left Ventricular Volume over time.
- Created Healthy Heart Index based on SVM for predicting patients’ survival probabilities.
- Proposed a new Beta-Binomial model for systematically evaluating TRACE (Teacher Rating and Course Evaluation) data.
Publications
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Under review