Seema Singh Saharan, PhD

Postdoctoral Scholar

Department of Clinical Pharmacy

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.

Publications:

Logistic Regression and Statistical Regularization Techniques for Risk Classification of Coronary Artery Disease using Cytokines transported by high density lipoproteins.

Proceedings. International Conference on Computational Science and Computational Intelligence

Saharan SS, Nagar P, Creasy KT, Stock EO, Feng J, Malloy MJ, Kane JP

Optimization of Smoking Classification by Applying Neural Network with Variable Importance Using Cytokine Biomarkers.

Proceedings. International Conference on Computational Science and Computational Intelligence

Saharan SS, Nagar P, Creasy KT, Stock EO, Feng J, Malloy MJ, Kane JP

Smoking Classification Using Novel Plasma Cytokines by implementing Machine Learning and Statistical Methods.

Proceedings. International Conference on Computational Science and Computational Intelligence

Saharan SS, Nagar P, Creasy KT, Stock EO, Feng J, Malloy MJ, Kane JP

Application of Machine Learning Ensemble Super Learner for analysis of the cytokines transported by high density lipoproteins (HDL) of smokers and nonsmokers.

Proceedings. International Conference on Computational Science and Computational Intelligence

Saharan SS, Nagar P, Creasy KT, Stock EO, Feng J, Malloy MJ, Kane JP

Implementation of PCA enabled Support Vector Machine using cytokines to differentiate smokers versus nonsmokers.

Proceedings. International Conference on Computational Science and Computational Intelligence

Saharan SS, Nagar P, Creasy KT, Stock EO, Feng J, Malloy MJ, Kane JP

Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines.

BioData mining

Saharan SS, Nagar P, Creasy KT, Stock EO, Feng J, Malloy MJ, Kane JP