Mentor: Tianxi Cai, ScD
Dr. Priyam Das is originally from Kolkata (The city of Joy), India. After completion of B.Stat. (2011) and M.Stat. (2013) from Indian Statistical Institute, Dr. Das completed his Ph.D. in Statistics from North Carolina University (NCSU) in 2016. His Ph.D. thesis focuses on Bayesian methodologies on simultaneous quantile regression. He also completed M.S. in Mathematics from NCSU in 2016 with thesis on blackbox optimization techniques. Dr. Das worked as a postdoctoral fellow in University of Texas MD Anderson Cancer Center during Apr, 2017 - August, 2019. His main research topics were Bayesian graphical modeling, varying coefficient modeling, variable selection and blackbox optimization in classification problems with application to cancer proteomics, TCGA and T-cell repertoire data.
Dr. Das's current research areas include parallelized blackbox optimization in high-dimensions (>1M), multi-threaded CPU and GPU computing, Natural Language Processing (NLP), Mixture Markov (and hidden Mixture Markov) Model based subject identification, Bayesian clustering of tree and distribution-free classification methods. Dr. Das is also interested in collaboration for any computationally challenging statistical/bio-statistical problems with researchers from other departments and universities.