I am a first-year PhD student in Computer Science from Khoury College at Northeastern University, advised by Prof. Rose Yu. I received my Bachelor degree of Science in Applied Mathematics from Huazhong University of Science and Technology. My research interests include spatiotemporal learning and the physics-informed deep learning. Here is my Google Scholar.


Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang*, Robin Walters*, Rose Yu. (*equal contribution)
Under review
Aortic Pressure Forecasting with Deep Sequence Learning
Rui Wang, Eliza Huang, Uma Chandrasekaran, Rose Yu.
Computing in Cardiology 2020
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020
Prediction of Alzheimer's disease-associated genes by integration of GWAS summary data and expression data
Sicheng Hao*, Rui Wang*, Yu Zhang, Hui Zhan. (*equal contribution)
Frontiers in Genetics 2018


Applied Scientist Intern

2020.05 - present
Amazon Web Services, Palo Alto, CA

Machine Learning Research Intern

2019.05 - 2019.08
Lawrence Berkeley National Laboratory, Berkeley, CA
  • Researched the challenging task of spatiotemporal modeling of velocity fields for nonlinear turbulent flows.
  • Developed a novel hybrid model, TF-net, that unifies RANS-LES coupling with custom-designed neural networks.

Research Assistant

2019.01 - 2019.04
Northeastern University, Boston, MA
  • Studied the applications of deep sequence models on long-term forecast of patients’ Aortic Pressure.
  • Conducted comprehensive experiments and evaluations with various traditional and deep sequence models.

Teaching Assistant for Special Topics in AI

2019.01 - 2019.04
Northeastern University, Boston, MA
  • Organized weekly paper discussion and assisted students with implementing deep learning models.

Data Science Co-op

2018.07 - 2018.12
Abiomed Inc., Danvers, MA
  • Conducted research on forecasting physiological parameters with various deep sequence models.
  • Applied Bidirectional LSTMs innovatively to the estimation of left ventricular volume time series.
  • Created Healthy Heart Index based on SVM for predicting patients’ survival probabilities in the next hour.

Content Editor

2018.09 - 2018.12
Northeastern University, Boston, MA
  • Edited and reviewed all content related to machine learning theories in Game Data Science.

Research Assistant

2018.04 - 2018.11
Northeastern University, Boston, MA
  • Proposed a new scheme for systematically evaluating TRACE (Teacher Rating and Course Evaluation) data.
  • Applied Binomial Regression Model and Likelihood Ratio test to finding the comparison group for each section.
  • Evaluated each section based on the Beta-Binomial model and proportions of 5’s and within its comparison group.


Graduate Fellowship - Northeastern University (2019)
Best Co-op Prize - Abiomed Inc. (2018)
Outstanding Graduate - Huazhong University of Science and Technology (2017)
Scholarship for Outstanding Learning - Huazhong University of Science and Technology (2014 - 2017)
National Scholarship - Huazhong University of Science and Technology (2014)

Skills & Proficiency

Python & Pytorch

Tensor Flow & Keras

C & C++ & C# & SQL

Matlab & JavaScript