Assistant Professor of Epidemiology

Overview

Sarah Ackley is a clinical and pharmacoepidemiologist whose research focuses on Alzheimer’s disease and dementia and on improving the credibility of biomedical evidence.

Sarah's work combines epidemiologic methods, mathematical modeling, causal inference, and computational tools to evaluate treatments, biomarkers, and scientific claims in dementia research. Much of her research has been shaped by contemporary controversies in Alzheimer’s research, particularly debates surrounding the amyloid hypothesis and the evaluation of emerging pharmaceutical therapies.

Sarah’s work focuses on synthesizing available evidence using rigorous quantitative tools to determine drug efficacy and to evaluate whether biomarkers—such as amyloid clearance—can serve as reliable surrogate endpoints for cognitive outcomes in clinical trials. She also develops methods to assess the credibility of epidemiologic findings and to integrate evidence across randomized trials, observational studies, and genetic analyses. More broadly, her research aims to develop systematic approaches that clarify how biomedical knowledge is produced, interpreted, and communicated across disciplines.

Sarah received her BS in Physics from the Massachusetts Institute of Technology (MIT) and her PhD in Epidemiology from the University of California, San Francisco (UCSF). She completed postdoctoral training in dementia epidemiology and quantitative methods at Boston University and UCSF. She currently leads the Computational Epidemiology Lab at the Brown University School of Public Health, which develops quantitative tools for dementia research and evidence evaluation. More information about the lab’s work can be found here.

Brown Affiliations

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