My research interests include multivariate data analysis, inferences with missing data, statistical tolerance region and calibration and meta analysis. I worked for my Ph.D. in the area of estimating multivariate normal parameters in a decision theoretic setup. I published several articles on estimation of normal covariance matrix, precision matrix, mean vector and eigenvalues. I also contributed in developing inferential procedures about normal mean vector, covariance matrix, and generalized variance based on data with missing responses. Recently, my research has focused towards the following areas of statistics:         (i) statistical tolerance region and calibration, (ii) statistical methods relevant to occupational exposure and pollution data, (iii) neurometrics, (iv) small sample inference for discrete distributions and (v) multivariate statistical inference with missing data. I am currently working on developing small sample statistical methods appropriate for analyzing workplace exposure data, and assessing workers exposure to workplace contaminants. This research involves work on lognormal distribution, tolerance factors for one-way ANOVA random effects model, and calibration methods. I have collaborated with medical scientists on the design of sampling, analyzing brain wave data, and worked with engineers and technicians on the analysis of drilling data and failure data.