N. Maritza Dowling

N. Maritza Dowling

Assistant Professor Of Biostatistics & Research; Associate Director Of Research Center For Aging Res @ The George Washington University

About N. Maritza Dowling

N. Maritza Dowling is an Assistant Professor of Biostatistics and Research at The George Washington University, where she also serves as the Associate Director of the Research Center for Aging Research. She previously worked at the University of Wisconsin-Madison as a Scientist and co-Director of the Biostatistics and Data Management Unit at the Alzheimer's Disease Research Center.

Work at The George Washington University

N. Maritza Dowling has served as an Assistant Professor of Biostatistics & Research at The George Washington University since 2017. In addition to her teaching role, she holds the position of Associate Director at the Research Center for Aging Research. Her work focuses on biostatistical methods and research initiatives aimed at understanding aging and related health issues.

Previous Experience at University of Wisconsin-Madison

Prior to her current role, N. Maritza Dowling worked at the University of Wisconsin-Madison from 2007 to 2016. During her tenure, she served as a Scientist and co-Director of the Biostatistics & Data Management Unit at the Alzheimer's Disease Research Center. Her responsibilities included overseeing biostatistical analysis and data management for research projects related to Alzheimer's disease.

Education and Expertise

N. Maritza Dowling earned her Doctor of Philosophy (PhD) in Quantitative Methods and Statistics from the University of Wisconsin-Madison. Her educational background provides a strong foundation in statistical methodologies, which she applies in her research and teaching in biostatistics.

Research Focus and Contributions

As an Assistant Professor and Associate Director, N. Maritza Dowling focuses on research related to aging. Her expertise in biostatistics contributes to various studies aimed at improving understanding of health outcomes in older populations. Her work supports the development of statistical models and methodologies that address complex health issues associated with aging.

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