CV

Education

• M.Sc. in Electrical and Computer Engineering, McGill University, Sep 2023 – Jun 2025
  • Affiliated Research Student at Mila-Quebec AI Institute
  • GPA: 4.0/4.0
• B.Sc. in Electrical and Computer Engineering with Distinction, University of Alberta, Sep 2018 – Jun 2023
  • Minor Degree in Mathematics
  • GPA: 3.7/4.0 (Major), 3.9/4.0 (Minor)

Work experience

• Software Engineer Intern, Zhejiang Wanbang Intelligent technology Co. Ltd., Hangzhou China, May 2022 – Dec 2022
  • Developed a deep learning model for face recognition applied in access control.
  • Preprocessed high-resolution human face datasets and developed an Android application.
• Software Engineer Intern, Betta Pharmaceuticals Co. Ltd., Hangzhou China, May 2020 – Aug 2020
  • Maintained the Office Automation System and linked databases for financial reporting.
• Software Engineer Intern, Zhejiang Yanhang Intelligent Technology Co. Ltd., Hangzhou China, Jun 2019 – Aug 2019
  • Assisted in waste sorting projects and developed automated test scripts for Android.

Research experience

• Graduate Research Assistant, iSMART LAB, McGill University and Mila-Quebec AI Institute, Montreal Canada, Jun 2023 – Present
  • Focus: Developing Continual Learning algorithms and an anomaly detection application using advanced machine learning techniques.
  • Supervisor: Dr. Narges Armanfard
• Research Assistant, Canadian Vigour Centre (CVC), Edmonton Canada, Sep 2022 – May 2023
  • Project: Development of a disease detection system using ECG data.
  • Supervisor: Dr. Russell Greiner and Dr. Padma Kaul
• Research Assistant, CS Department, Carnegie Mellon University, Pittsburgh USA, Jul 2022 – Aug 2022
  • Research: Causal inference in machine learning with a focus on counterfactual prediction.
  • Supervisor: Dr. David Woodruff
• Research Student, Multimedia Research Centre, University of Alberta, Edmonton Canada, Jan 2022 – Jun 2022
  • Project: 3D human estimation techniques and development of a deep learning framework for real-time video analysis.
  • Supervisor: Dr. Anup Basu
• Undergraduate Research Assistant, ECE Department, University of Alberta, Edmonton Canada, Feb 2021 – Dec 2021
  • Research: EEG data analysis related to adult ADHD and machine learning classifiers development.
  • Supervisor: Dr. Xingyu Li
• Summer Research Assistant, VIPA Lab, Zhejiang University, Hangzhou China, Summer 2021
  • Research: Machine learning algorithms for computer vision, focusing on Transformer architecture integration.
  • Supervisor: Dr. Liming Song

Skills

• Programming: Proficient in C/C++, C#, Java, Python, Go, JavaScript
• Libraries & Frameworks: Experienced with OpenCV, Scikit-Learn, PyTorch, Keras, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn
• Tools: Skilled in Git, Docker, ROS
• Languages: Chinese (Native), English (Professional), French (Elementary)

Publications

• Z. Wang, R. Chen, M. Liu, G. Dong, and A. Basu, “SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space,” Smart Multimedia, 2022.
• W. Sun, S. Kalmady, N. Sepehrvand, L. Chu, Z. Wang, A. Salimi, A. Hindle, R. Greiner, and P. Kaul, “Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale,” NeurIPS 2022 Workshop on Learning from Time Series for Health.