2026 Healthcare AI
Generative AI for Medical Imaging CAIAC paper exploring whether synthetic chest X-rays help because they add useful new diversity, or simply because they increase the effective training set size
Research
Research notes organized as focused case studies.
Methods, figures, and outcomes from graduate work in medical imaging, evaluation, and applied machine learning.
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.
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.
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.