Applied AI/ML and evaluation
Feature engineering, model comparison, healthcare prediction reading, and careful attention to validation, calibration, and overfitting.
Research portfolio for graduate applications
Qixuan Chu
Computer Science Specialist at the University of Toronto focused on applied AI/ML, human-centered systems, data visualization, adaptive media, privacy/security, and reliable software engineering.
Focus
A compact profile around AI systems, human-centered evaluation, and reliable implementation.
The site is intentionally evidence-first: projects and research context come before decorative biography.
Human-centered visualization and adaptive media
Interactive D3 visual analytics, TouchDesigner prototypes, affective computing, and user-study driven evaluation.
Reliable software systems and testing
End-to-end automation, debugging, Java/SQL/HTTP test logic, browser automation, and regression reliability in enterprise workflows.
Featured work
Project case studies that support the graduate application narrative.
Each case study states the motivation, technical approach, contribution boundary, and available evidence.
Synesthetic Music Visualization
A TouchDesigner-based music visualization system mapping audio features to visual deformation for emotional-regulation exploration.
Box Office vs Streaming Services Visualization
An interactive D3.js dashboard analyzing box-office and streaming-service trends through coordinated web views.
Food Item Classifier
A classifier project comparing decision trees, KNN, and neural networks with feature engineering and generalization analysis.