My research interests include the theoretical analysis of tensors and their application to machine learning. I am especially interested in developing tensor analysis methods that can be used to boost the performance of recommender systems, missing data recovery and personalized recommendations algorithms. To this end my PhD research is centered around the theory of tensors but also in developing tools to facilitate the integrations of tensor methods into pre-existing machine learning algorithms.
I have also worked on applied projects in reinforcement learning and would like to pursue more work in this field in the coming years.
I have three years of work experience as a statistics consultant during which period I had the opportunity to work on over 50 projects from beginning to completion. I find great joy in sharing the knowledge I have acquired over the years and I have been fortunate to do so through four years of teaching a wide variety of undergraduate and graduate level Statistics and Maths courses.
PhD in Statistics, 2021
MS in Mathematics, 2014
University of Arkansas
BSc in Mathematics & Economics (double major), 2011
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