jiahe72@student.ubc.ca • GitHub • LinkedIn
- 🎓 I’m a fourth-year Computer Science student at the University of British Columbia.
- 💼 I have experience in healthcare technology, data analytics, AI-assisted learning tools, and research software development.
- 🏥 Previously worked as a Digital Information Technologies & Solutions Co-op at Sanofi, supporting enterprise manufacturing systems, GxP validation, and Power BI dashboards.
- 🔬 Currently involved in research projects across computational mass spectrometry, power-grid vulnerability analysis, graph learning, and signal-processing systems.
- 🌱 I’m currently strengthening my skills in React, Streamlit, machine learning workflows, and applied data systems.
- 📄 Know more about my experience by clicking here.
- ⚡ Fun fact: I enjoy K-dramas, crime series like White Collar, badminton, swimming, photography, hiking, and discovering great restaurants.
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Research Assistant @ UBC / HUST
Built Python-based preprocessing workflows, Streamlit dashboards, ML pipelines, and simulation tools for scientific and engineering research. -
Technology & Innovation Assistant @ UBC Faculty of Education
Supported interactive learning tools, role-based access control, AI literacy workshops, and digital learning solutions. -
Digital IT & Solutions Co-op @ Sanofi
Supported MES/PI systems, GxP-compliant validation, pharmaceutical peripherals, and Power BI cybersecurity dashboards. -
R&D Assistant Engineer @ Wuhan Deepin Technology
Assisted with R&D planning, technical documentation, workflow evaluation, and agile engineering activities.
 Python |
 Java |
 C++ |
 C |
 R |
 JavaScript |
 React |
 HTML |
 CSS |
 MySQL |
 pandas |
 NumPy |
 scikit-learn |
 PyTorch |
 TensorFlow |
 Streamlit |
 Power BI |
 Git |
 VS Code |
 Jupyter |
 Figma |
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Machine Learning & Data Processing Workflows
Scientific data preprocessing, feature cleaning, assignment validation, prediction-output analysis, and ML-ready dataset construction. -
Interactive Analytics Dashboard
Streamlit dashboard development for graph-based infrastructure analysis, visualization, metric panels, and experiment-state tracking. -
Scientific Computing & Research Software
Python workflows for mass spectrometry, reference-library construction, graph learning, and signal-processing experiments. -
Software Development Projects
Java desktop applications, JavaFX GUI development, JSON-based local storage, and web interface development.