Nilanjan Chatterjee is a Bloomberg Distinguished Professor[1] of Biostatistics and Genetic Epidemiology at Johns Hopkins University, with appointments in the Department of Biostatistics in the Bloomberg School of Public Health and in the Department of Oncology in the Sidney Kimmel Comprehensive Cancer Center in the Johns Hopkins School of Medicine.

[4] His PhD thesis, titled "Semiparametric Inference Based on Estimating Equations in Regression Models for Two-Phase Outcome-Dependent Sampling," was advised by Norman Breslow and Jon A.

[2][10] Chatterjee's contributions to the initiative involved research on using genetic markers for risk prediction models as well as their applications to personalized medicine and public health interventions.

[2] Through his quantitative studies of gene-environment and gene-gene interactions, Chatterjee has also made fundamental contributions to theoretical and methodological approaches in epidemiology and biostatistics.

[2][3] Using statistics from genome-wide association studies to appraise the number of DNA variations that contribute to different physical traits and diseases, Chatterjee and colleagues developed a method for estimating the number of individual samples needed in order to identify genetic bases of traits, such as height or body mass index (BMI), or diseases, such as diabetes or bipolar disorder.