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Biography
I earned my Ph.D. in Measurement, Evaluation, and Statistics from Columbia University in 2019. I completed my M.S. in Statistics at the University of California, Irvine in 2016. While my primary research interests focus on longitudinal modeling, which is also the subject of my three-paper dissertation, I am also interested more broadly in regression methods in various contexts such as meta-analysis and structural equation modeling.
I currently work as the principal/lead statistician at University Statistical Consulting, LLC where we welcome projects from different disciplines in academia and industry. I also work at University of Southern California, at the Herting Lab, as a biostatistician. I previously worked at the Institute for Interdisciplinary Salivary Bioscience Research (IISBR) at the University of California, Irvine, as a postdoc. My work included analyzing and managing salivary data as well as performing power analysis for cross sectional and longitudinal studies in regression and structural equation modeling framework. Additionally, I worked at Columbia University’s Center for Technology and School Change which has prepared me to design questionnaires, work with data from different educational entities, and perform power analyses prior to collecting data.
My statistical training and consulting career qualifies me to analyze and interpret longitudinal and cross-sectional data from many types of studies, from observational to experimental designs. My interdisciplinary experiences with a variety of data sets, such as salivary/medical data, education/psychology data, air pollution data, and neuroimaging data enables me to work with scholars from different disciplines. All my experiences have prepared me for participation in new projects in education, psychology, bioscience, neuroscience and more. They have given me expertise in choosing the optimal analytical method for different data sets, as well as strong skills in clearly and efficiently communicating the results with scholars and collaborators.