Md Tauhidul Islam

Md Tauhidul Islam, PhD is an Assistant Professor in the Department of Radiation Oncology (Medical Physics Division) at Stanford University School of Medicine. He leads the Islam Lab, where he develops next-generation artificial intelligence methods for biomedical data analysis, with a focus on cancer diagnostics and precision oncology. His research program focuses on developing computationally efficient and clinically reliable artificial intelligence (AI) methods for biomedical imaging and high-dimensional molecular data, with the long-term goal of enabling precision diagnosis, prognosis, and treatment selection in cancer and neurological disease. The Islam Lab develops AI foundations that improve performance, robustness, and interpretability in data-constrained biomedical settings. The lab designs representation learning frameworks that reorganize tabular omics data into biologically structured, image-like formats and develop multimodal models that integrate imaging and molecular signals. The lab's work emphasizes computational efficiency, uncertainty quantification, and rigorous statistical validation to ensure reliability across cohorts and institutions. By combining representation learning, multimodal modeling, and clinically grounded evaluation, Islam Lab's goal is to advance biomedical AI and accelerate its translation into patient-centered clinical impact.