Curriculum Vitae

Full version of CV can be found here.

Education

• Université de Montréal, Montreal, Canada, 09/2021 - present
  • Ph.D. in Computer Science
  • GPA: 4.30/4.30
• Concordia University, Montreal, Canada, 01/2019 - 04/2021
  • M.Sc. in Electrical and Computer Engineering
  • GPA: 4.30/4.30
• University of Manitoba, Manitoba, Canada, 09/2017 - 12/2018
  • M.Sc. in Electrical and Computer Engineering, transferred
  • GPA: 4.13/4.50
• University of Electronic Science and Technology of China (电子科技大学), Chengdu, China, 09/2013 - 06/2017
  • B.Eng. in Electronics Information Engineering
  • GPA: 3.47/4.00

Professional experience

• 09/2021 - now: Research Assistant
  • Mila - Quebec AI Institute, Université de Montréal
  • Supervisor: Professor Guy Wolf
  • Main Projects:
    • Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension
    • PHATE Representations Can Effectively Capture Continuous Population Structure in Human Genomic Data)
    • Machine Learning-Based Biomarker Discovery and Cellular Landscape Analysis in Multiple Sclerosis
    • Exploring Biological Features in Alzheimer’s Disease through Single-Cell Data Analysis and Visualization
    • Data-driven approaches for genetic characterization of SARS-CoV-2 lineages
• 09/2017 - 04/2021: Research Assistant
  • Network Intelligence and Innovation Laboratory, University of Manitoba & Concordia University
  • Supervisor: Professor Jun Cai
  • Main Projects:
    • Muscle Oxygen Saturation Quantitative Measurement and Fault Diagnostic
    • Deep Learning Mechanism of Revenue Maximization in Mobile Edge Computing
  • Thesis: Quantitative Measurement of Muscle Oxygen Saturation Using 5-Wavelength Near-Infrared Spectroscopy with Fault Diagnostic.
• 02/2017 - 06/2017: Research Assistant
  • University of Wollongong, NSW, Australia
  • Supervisor: Dr. Jun Tong
  • Project: Low-complexity Algorithm of Massive MIMO Detection (undergraduate thesis)

Skills

• Programming: Python, R, C, C++
  • Deep Learning: PyTorch,TensorFlow
  • Machine Learning: scikit-learn
  • Parallel Computing: MPI, OpenMP, OpenCL, CUDA
  • Image Processing: OpenCV
• Tools: Matlab, Mathematica, Linux, GitHub

Honors & Awards

• Bourse d’exemption Université de Montréal, 2021
• Concordia Split Merit Scholarship, 2019 & 2020
• International Graduate Student Entrance Scholarship of University of Manitoba, 2017
• Third-class Scholarship of UESTC, 2016
• Outstanding Volunteer of UESTC, 2014