CV

General Information

Full Name Rui Wang
Languages English, Chinese
CV PDF Full form of CV can be viewed here

Education

  • 09/2017 - 07/2022
    Ph.D.
    Michigan State University, East Lansing, MI
    • Applied Mathematics
    • Advisor Prof. Guowei Wei
  • 09/2013 - 06/2017
    B.S.
    Xi'an Jiaotong University, Xi'an, Shaanxi, China
    • Mathematics and Applied Mathematics (Honors Science Program)

Experience

  • 12/2023 - Present
    Simons Center Postdoctoral Fellow
    New York University, New York City, NY
  • 08/2022 - 10/2023
    Visiting Assistant Professor
    Michigan State University, East Lansing, MI
  • 01/2019 - 08/2022
    Research Assistant
    Michigan State University, East Lansing, MI
  • 08/2017 - 12/2018
    Teaching Assistant
    Michigan State University, East Lansing, MI
  • 01/2016 - 05/2016
    Exchange Student
    Michigan State University, East Lansing, MI

Packages Developed

  • 2023
    SGNC
    • A package for designing highly druggable anti-cocaine addiction compounds using Stochastic-based Generative Network Complex.
  • 2021
    HERMES
    • A package for simultaneous topological data analysis (persistent Betti numbers) and geometric data analysis (persistent eigenvalues).
  • 2019
    Machine Learning Tutorial
    • A series of Python coding tutorial for 16 machine learning algorithms.

Website Developed

  • 2021
    MutationAnalyzer
    • An interactive website for analyzing Spike protein RBD mutations.
  • 2020
    MutationTracker
    • An interactive website for tracking SARS-CoV-2 mutations.

Honors and Awards

  • 12/2023
    • Simons Center Postdoctoral Fellowship
  • 07/2022
    • SIAM Conference on the Life Sciences (LS22) Travel Award
  • 05/2022
    • College of Natural Science Completion Fellowship
  • 05/2022
    • Dr. Paul and Wilma Dressel Endowed Scholarship
  • 04/2020
    • Herbert T. Graham Scholarship Award
  • 10/2019
    • SCMLLS Travel Support Fund
  • 05/2019
    • College of Natural Science Continuation Fellowship

Research Interests

  • Computational Topology and Graphs
    • Persistent Laplacians, Persistent Path Laplacians
    • Geometric Graph Learning
  • Mathematical Modeling of Infectious Disease
    • Artificial intelligence forecasting of emerging infecious variants
  • Genomics analysis
    • DNA sequencing; single-nucleotide polymorphism (SNP) calling
    • UMAP-assisted clustering of large-scale SARS-CoV-2 mutation datasets
  • Machine Learning
    • Convolution neural network(CNN); Multitask learning; Autoencoder; Generative Adversarial network (GAN)
    • Long Short Term Memory network (LSTM); Gated Recurrent Units (GRU) Transfer learning
    • U-Net, Clustering

Programming Languages

  • Python, MATLAB, JavaScript, BASH, C++, MATHEMATICS

Molecular Visualization and Computer Graphics Softwares

  • VMD, ChimeraX, PyMOL, Blender, Illustrator