Nusrat Jahan image


Professor, Statistics
Year Started at JMU: 2005
Contact Info

Research Description

Dr. Jahan’s research interests lie in statistical modeling and data analysis in the context of high-dimensional data. Her current research is focused on using machine learning models to infer biologically meaningful patterns from gene expression studies. High dimensionality is an inherent problem in genomics. Nusrat is also working on sparse dimension reduction techniques to identify linear combinations of the most important predictors that best explain the response variable prior to model building.

  • PhD in Mathematical Sciences/Statistics, 2006, Mississippi State University
  • MS in Statistics, 1992, Queen's University, Canada
  • BS in Statistics, 1987, University of Dhaka, Bangladesh
Select Publications
  • Elizabeth Gage, Devansh Agarwal, Calvin Chenault, Kameron Washington-Brown, Sarah Szvetecz, Nusrat Jahan, Zixiao Wang, Melissa K. Jones, Donald J. Zack, Ray A. Enke, Karl J. Wahlin (2022), “Temporal and isoform-specific expression of CTBP2 is evolutionarily conserved between the developing chick and human retina,” Frontiers in Molecular Neuroscience, Volume 14. 
  • Anna Maria Johnson and Nusrat Jahan (2021), "Assessing the Impact on Critical Reading and Critical Thinking: Using Commonplace Books and Social Reading Practices in a First-Year Writing Classroom," Pedagogy, Volume 2 Number 2 (2021) pp. 277–294. 
  • Joder, Dallas and Jahan, Nusrat (2017), “Weighted Meta-Analysis for small sample Microarray studies,” Journal of Advanced Statistics, Volume 2, No. 2, pp. 96–108. 10.22606/jas.2017.22003
  • Jahan, Nusrat and Harvill, J.L. (2008), “Bispectral-based goodness-of-fit tests of Gaussianity and linearity of stationary time series,” Communications in Statistics: Theory and Methods, Volume 37, No. 20, pp. 3216-3227. DOI: 10.1080/03610920802133319
  • Jahan, Nusrat and Harvill, J.L. (2003), “Goodness-of-Fit Test for Noncentral Chi-square Distribution with Unknown Noncentrality Parameter,” 2003 Proceedings of American Statistical Association, Nonparametric Statistics Section, VA: American Statistical Association: pp.1986-1990.

Back to Top