Naveed Syed

I am a clinician–scientist working at the intersection of hematology–oncology, clinical research, and applied machine learning. My work focuses on developing clinically interpretable AI models that address real-world diagnostic, prognostic, and decision-support problems in medicine. My primary interests include: Explainable machine learning for healthcare (SHAP, calibration, decision curve analysis) AI models for hematologic malignancies and oncology workflows Translational research using real-world clinical data Bridging clinical practice with reproducible, regulatory-ready AI systems I actively build and share open, auditable ML frameworks designed for clinicians, not black boxes, emphasizing robustness, transparency, and clinical usefulness. My goal is to translate AI from proof-of-concept into tools that can meaningfully improve patient care and support evidence-based decision-making.