Exploring Intelligent Systems.
Academic investigations, applied machine learning experiments, and clinical diagnostic decision pipelines exploring predictive modeling, explainable AI, and high-dimensional analytics.
Multimodal Clinical Decision Support for Sepsis Onset Prediction
Constructing an end-to-end continuous risk trajectory engine for ICU patient encounters. Combines irregular time-series vital signs, high-frequency lab assays, and clinical notes to forecast septic shock up to 6 hours prior to clinical diagnostic criteria with localized FastSHAP explanations.
Multimodal Clinical Decision Support for Sepsis Onset Prediction
Constructing an end-to-end continuous risk trajectory engine for ICU patient encounters. Combines irregular time-series vital signs, high-frequency lab assays, and clinical notes to forecast septic shock up to 6 hours prior to clinical diagnostic criteria with localized FastSHAP explanations.
Neural Thoracic X-Ray Pathology Classifier with Grad-CAM Saliency
Multi-label pathology screening across 112,000 chest radiographs (ChestX-ray14 cohort). Incorporates hybrid ResNet-50 backbones connected with Vision Transformer (ViT) cross-attention layers, mapping localized visual justifications to mitigate black-box misdiagnoses.
Interested in AI / ML Research Collaboration?
I partner with university research groups, clinical institutions, and machine learning teams to design reproducible pipelines, publish peer-reviewed studies, and productionize explainable AI workflows.