University of Illinois at Urbana-Champaign (USA)
Research Interests: High Dimensional Data, Model Selection, Bayesian Computation, Functional Data, Quantile-based Inference, Censored Data, Data Depth
Naveen Naidu Narisetty has a broad research interest in methodological, computational and theoretical research in Statistics motivated by substantial applications and interdisciplinary collaborations. Research directions include high dimensional data analysis, model selection, Bayesian computation, large-scale computational models, functional data, and quantile modeling. He received his PhD in Statistics from the University of Michigan in 2016. H was awarded with the following awards:- ProQuest Distinguished Dissertation Award, University of Michigan, 2017, Rackham Predoctoral Fellowship, University of Michigan, 2016, Excellence in Teaching Award, University of Michigan, 2015, Best Student Paper Award, Nonparametric Statistics Section, American Statistical Association, 2015, Best Student Paper Award, Statistical Learning and Data Science Section, American Statistical Association, 2014
and Outstanding PhD Student Award, University of Michigan, 2012. He has published 14 papers in the period of 2013-2019.