.jpg "Saanie Sulley, MD.PhD photo")
Researcher
National Healthy Start Association/ UMASS Lowell
I am a biomedical data scientist and pathology informatics researcher whose work bridges computational modeling, digital pathology, and clinical data integration. He earned his PhD in Bioinformatics and currently leads projects applying artificial intelligence and machine learning to diagnostic challenges in cytomorphology, immunohistochemistry, and cancer genomics. His recent studies explore interpretable deep learning for bone marrow morphology, sex-based biomarker variation using GTEx data, and multi-omics models for clear cell renal cell carcinoma.
My work has been featured at national and international meetings, including the Association for Molecular Pathology (AMP), the American Medical Informatics Association (AMIA), and the American Society for Clinical Pathology (ASCP). I have a strong interest in bridging pathology and informatics through open, reproducible, and education-focused research.
With a commitment to advancing diagnostic precision and data equity, my work centers on developing accessible, interpretable, and globally relevant computational tools that enhance pathology practice and medical decision-making. My interdisciplinary background reflects a deep dedication to shaping the next generation of data-driven pathology.