Seema Singh Saharan, PhD

Seema Saharan conducts multi-modality big data cutting age research at the MOC. Her passion lies in pioneering cutting-edge statistical and modeling methods, unraveling insights into health outcomes for patients with Alzheimer disease and related dementias. Seema's expertise centers on prediction and pattern classification. Her work empowers informed clinical choices by delving deep into big data-driven biostatistics, machine learning, and state-of-the-art AI techniques for treatment-related evaluations.

Seema holds a Ph.D. in statistics with a Data Science focus. Her doctoral journey encompassed optimizing statistical exploratory analyses, uncovering the intricate behavior of proinflammatory cytokine cascades transported by HDL/Plasma. These insights shed light on conditions like cardiovascular diseases, Alzheimer's, and cancer, shaping a healthier future.