Dr. Huzurbazar joined the Nell Hodgson Woodruff School of Nursing in early 2024 with a secondary position as Director of the provisional AI track in the Nursing PhD program. Most recently, she was Professor of Data Science and Associate Director in the School of Mathematical and Data Sciences at West Virginia University (WVU), where she founded the Data Science program in 2020. She was Chair of Biostatistics at WVU (2017-2019), Professor of Statistics at the University of Wyoming (1995-2017), and Deputy Director (2012-14) of the NSF’s Statistical and Applied Mathematical Sciences Institute in North Carolina. Earlier in her career, she was a Visiting Scientist at the Institute of Arctic and Alpine Research at the University of Colorado, Boulder and she also initiated and obtained NIJ funding to start the STOP Violence program at the Univ of Wyoming. She is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute. Her methodological and interdisciplinary research is now at the intersection of statistics and data science, with a view towards uncertainty quantification. She earned her PhD in Statistics from Colorado State University, her MA in Economics from Vanderbilt University and her BA from Grinnell College. She is one of the two statistical editors for the journal Anesthesiology.

1. Licata R, Mehta P, Tobiska W, Huzurbazar S. Machine‐Learned HASDM Thermospheric Mass Density Model With Uncertainty Quantification. Space Weather. 2022 April; 20(4):-. Available from: https://onlinelibrary.wiley.com/doi/10.1029/2021SW002915 DOI: 10.1029/2021SW002915
   
2. Fettweis JM, Serrano MG, Brooks JP, Edwards DJ, Girerd PH, Parikh HI, Huang B, Arodz TJ, Edupuganti L, Glascock AL, Xu J, Jimenez NR, Vivadelli SC, Fong SS, Sheth NU, Jean S, Lee V, Bokhari YA, Lara AM, Mistry SD, Duckworth RA 3rd, Bradley SP, Koparde VN, Orenda XV, Milton SH, Rozycki SK, Matveyev AV, Wright ML, Huzurbazar SV, Jackson EM, Smirnova E, Korlach J, Tsai YC, Dickinson MR, Brooks JL, Drake JI, Chaffin DO, Sexton AL, Gravett MG, Rubens CE, Wijesooriya NR, Hendricks-Muñoz KD, Jefferson KK, Strauss JF 3rd, Buck GA. The vaginal microbiome and preterm birth. Nat Med. 2019 Jun;25(6):1012-1021. PubMed Central PMCID: PMC6750801.
   
3. Smirnova E, Huzurbazar S, Jafari F. PERFect: PERmutation Filtering test for microbiome data. Biostatistics. 2019 October; 20(4):615-631. Available from: https://academic.oup.com/biostatistics/article/20/4/615/5039878 DOI: 10.1093/biostatistics/kxy020
   
4. Cacho A, Smirnova E, Huzurbazar S, Cui X. A Comparison of Base-calling Algorithms for Illumina Sequencing Technology. Briefings in Bioinformatics. 2016 September; 17(5):786-795. Available from: https://academic.oup.com/bib/article-lookup/doi/10.1093/bib/bbv088 DOI: 10.1093/bib/bbv088
   
5. Huzurbazar S, Wick A, Gasch C, Stahl P. Bayesian Posterior Predictive Distributions for Assessing Soil Aggregation in Undisturbed Semiarid Grasslands. Soil Science Society of America Journal. 2013 July; 77(4):1380-1390. Available from: http://doi.wiley.com/10.2136/sssaj2012.0399 DOI: 10.2136/sssaj2012.0399
   
6. Alexander J, McElroy B, Huzurbazar S, Elliott C, Murr M. Deposition Potential and Flow‐Response Dynamics of Emergent Sandbars in a Braided River. Water Resources Research. 2020 January 15; 56(1):-. Available from: https://onlinelibrary.wiley.com/doi/10.1029/2018WR024107 DOI: 10.1029/2018WR024107
   
7. Denoeud F, Henriet S, Mungpakdee S, Aury JM, Da Silva C, Brinkmann H, Mikhaleva J, Olsen LC, Jubin C, Cañestro C, Bouquet JM, Danks G, Poulain J, Campsteijn C, Adamski M, Cross I, Yadetie F, Muffato M, Louis A, Butcher S, Tsagkogeorga G, Konrad A, Singh S, Jensen MF, Huynh Cong E, Eikeseth-Otteraa H, Noel B, Anthouard V, Porcel BM, Kachouri-Lafond R, Nishino A, Ugolini M, Chourrout P, Nishida H, Aasland R, Huzurbazar S, Westhof E, Delsuc F, Lehrach H, Reinhardt R, Weissenbach J, Roy SW, Artiguenave F, Postlethwait JH, Manak JR, Thompson EM, Jaillon O, Du Pasquier L, Boudinot P, Liberles DA, Volff JN, Philippe H, Lenhard B, Roest Crollius H, Wincker P, Chourrout D. Plasticity of animal genome architecture unmasked by rapid evolution of a pelagic tunicate. Science. 2010 Dec 3;330(6009):1381-5. PubMed Central PMCID: PMC3760481.
   
8. Huzurbazar S, Humphrey N. Functional clustering of time series: An insight into length scales in subglacial water flow. Water Resources Research. 2008 November; 44(11):-. Available from: http://doi.wiley.com/10.1029/2007WR006612 DOI: 10.1029/2007WR006612

I have taught Statistics, Biostatistics and Data Science courses at the undergraduate and graduate levels in Departments of Statistics, Biostatistics and Data Science. Please see my CV for longer list of courses created and taught over my career.

I am a statistical data scientist, meaning I started my career with a PhD in Statistics and now work at the intersection of Statistics and Data Science. I am interested in issues such as uncertainty quantification for data science and AI methods. I am also interested in various applications of statistical methods to analysis of microbiome data, age-period-cohort models and a long list of other problems. I do not specialize in a set of statistical methods but usually explore various methods to find the best way to use data modeling and analysis to solve the problem at hand. Thus, I've worked with colleagues in a wide range of disciplines and have enjoyed learning about diverse research areas in different sciences and social sciences.

Fellow (elected) American Statistical Association (ASA)

Member (elected) International Statistical Association (ISI)