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Hemant D. Tagare is a Professor at Yale University specializing in the development of advanced methodologies for analyzing complex biological data. His research interests primarily revolve around Machine Learning algorithms that enhance the analysis of Cryogenic Electron Microscopy (cryo-EM) data. Tagare is engaged in exploring the challenges of protein and macromolecule analysis within cryo-EM imaging, focusing on heterogeneity analysis, local resolution mapping, and fast algorithms for Expectation-Maximization. He also investigates longitudinal analysis of clinical data, particularly related to Parkinson's Disease. Additionally, his work emphasizes the integration of mobile computing solutions in global healthcare contexts, including mobile screening applications for conditions like pre-eclampsia. Through his teaching and research, he provides significant contributions to the fields of Bio-Medical Image Analysis and data-driven approaches in clinical diagnostics.
Yale University • New Haven, CT
Leading research and education in Machine Learning applications for biological data analysis.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.