Amanda Mejia

Associate Professor of Statistics & Principal Investigator of the StatMIND Lab at Indiana University

Amanda Mejia is an Associate Professor in the Department of Statistics at Indiana University Bloomington.1 2 She specializes in developing statistical models and techniques for analyzing functional MRI data, with a particular focus on identifying biomarkers for Alzheimer's disease.1

Research and Expertise

Mejia's work involves:

Building sophisticated statistical models to extract complex functional brain signatures from fMRI data1
Developing new biomarkers for early detection of Alzheimer's disease risk1
Creating user-friendly software for fMRI analysis, which has been downloaded over 45,000 times by research laboratories worldwide1

Education and Background

Ph.D. in Biostatistics from Johns Hopkins School of Public Health2 3
Advised by Professors Martin Lindquist and Brian Caffo during her doctoral studies3

Current Projects and Collaborations

Mejia is currently:

Working on a $3.5 million R01 grant from the National Institute on Aging to develop functional-MRI-based biomarkers for Alzheimer's disease1
Collaborating with researchers at the IU School of Medicine and the Indiana Alzheimer's Disease Research Center1
Partnering with Damon Pham, an IU Bloomington graduate, to develop and disseminate software for fMRI analysis1

Recognition

Mejia is one of six global recipients of Johnson & Johnson's Women in STEM2D Scholars Award, recognizing her contributions to the field.1

Through her research, Mejia aims to advance the clinical utility of functional MRI in diagnosing and understanding Alzheimer's disease and other neurological conditions, potentially improving early detection and treatment outcomes for patients.1