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.


PhD student in Computer Science

2019 - Present
Northeastern University // GPA 4.0

Master of Science in Data Science

2017 - 2019
Northeastern University // GPA 3.9

International Exchange Student

University of California, Berkeley

Bachelor of Science in Applied Mathematics

2013 - 2017
Huazhong University of Science and Technology // GPA 3.8


Machine Learning Research Intern

2019.5 - 2019.8
Lawrence Berkeley National Laboratory, Berkeley, CA
  • Researched the challenging task of spatiotemporal modeling of nonlinear turbulent flows.
  • Developed novel physics-informed deep learning models for turbulence predictions.

Research Assistant

2019.1 - 2019.4
Northeastern University, Boston, MA
  • 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.

Teaching Assistant (Special Topics in Artificial Intelligence)

2019.1 - 2019.4
Northeastern University, Boston, MA

Data Science Co-op

2018.7 - 2018.12
Abiomed Inc., Danvers, MA
  • 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.

Research Assistant

2018.4 - 2018.11
Northeastern University, Boston, MA
  • Proposed a new Beta-Binomial model for systematically evaluating TRACE (Teacher Rating and Course Evaluation) data.

Content Editor

2018.9 - 2018.12
Northeastern University, Boston, MA


Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
Under review

Skills & Proficiency

Python & R

Pytorch & NLTK & scikit-learn

Tensor Flow & Keras

C & C++ & C# & SQL

Matlab & JavaScript