معرفی
Ani Eloyan is an Associate Professor of Biostatistics and Vice Chair of Biostatistics at Brown University's School of Public Health. She holds a PhD from North Carolina State University (2010). Her research focuses on statistical methods for medical imaging, including matrix decomposition techniques for lesion development modeling, machine learning applications in healthcare data integration, and dimension reduction methods. She has contributed to high-impact studies like the Longitudinal Early-onset Alzheimer's Disease Study (LEADS) and has expertise in neuroimaging analysis for conditions like multiple sclerosis and autism.
Teaching responsibilities include courses such as Principles of Biostatistics (PHP 1510/2510), Applied Generalized Linear Models (PHP 2514), and Doctoral Seminars in Public Health (PHP 2950). Her work spans over 29 peer-reviewed articles, with recent publications emphasizing biomarker detection, tumor heterogeneity estimation, and sensorimotor outcome analysis. While no specific awards are listed, her research has been supported through collaborative grants and institutional affiliations.
Key contributions include methodological advancements in MRI analysis, functional connectivity studies using fMRI, and the application of statistical frameworks to neurodegenerative diseases. She leads interdisciplinary teams in designing longitudinal studies and integrating complex datasets for clinical insights.
