Research

Research notes organized as focused case studies.

Methods, figures, and outcomes from graduate work in medical imaging, evaluation, and applied machine learning.

Generative AI for Medical Imaging
2025 Healthcare AI
Generative AI for Medical Imaging

Research on synthetic tuberculosis chest X-ray generation using diffusion and GAN models, with downstream classifier experiments, realism metrics, and privacy-oriented evaluation.

Publication
University of Guelph / Dr. Sykes AI and Healthcare Lab
Keywords
Generative AIMedical ImagingDiffusion ModelsEvaluation
CXR Segmentation and TB Imaging Pipeline
2025 Medical Imaging
CXR Segmentation and TB Imaging Pipeline

A chest X-ray research pipeline combining tuberculosis classification, lung segmentation, and diffusion generation, with a current focus on segmentation model comparison and efficiency tradeoffs.

Publication
University of Guelph / Graduate Research
Keywords
SegmentationMedical ImagingMONAIPyTorch Lightning
ML-Based Bug Detection System
2025 Applied Machine Learning
ML-Based Bug Detection System

An applied research project for Nevvon that modeled application freezes through session analysis, stuckness heuristics, and predictive factor discovery.

Publication
University of Guelph / Industry Collaboration
Keywords
Bug DetectionMachine LearningData AnalysisSoftware Quality
2025 Explainable AI
Explainable AI and Model Evaluation in Healthcare

Research and implementation work focused on making healthcare AI systems more interpretable, testable, and communicable to collaborators.

Publication
University of Guelph / Graduate Research
Keywords
Explainable AIEvaluationComputer Vision
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