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Research Statement My research activities, both theoretical and methodological as well as my collaborative and applied work, are focused on addressing data aspects of biological systems and biostatistics. An inventive impact of my research activities is the creation of a fresh perspective to biological data analysis where a research assumes that there are logical stochastic processes that generate underlying population trajectories that can be observed at distinct time points with some measurement error. This new perspective creates a new school of thought for biostatistics estimation techniques that account for the noted correlations. The perspective that efficient data manipulation procedures should directly target covariance structures inspires the estimation techniques. I adhere to this school of thought by creating estimators that are based on new regularity measures on functional covariance induced by population trajectories. I developed this estimation philosophy for biological data manipulation in response to the large volumes of functional data that I encountered in my practical projects and to address a scarcity of coalescing logical justification for the analysis of functional data that accounts for covariance. Applying this framework has allowed me to produce potentially powerful and interesting results. I am also involved in collaborative and applied biological data management projects dealing with a range of design structures within scientific settings. Practicum: Phase II Basket Group Sequential Clinical Trial with Binary Responses, from December 2015 to the present: Given that the value of biological data is only as good as the processes that produce
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