By Bhramar Mukherjee
It is an exciting time to be a biostatistician; each day at work is absorbing and unique in its own way.
My day typically starts with meeting my graduate students. Most of them are working toward developing new methods with applications at the interface of genetic and environmental epidemiology. The genetic data are complex due to their high dimensionality; the environmental data come with the challenges of handling multiple correlated exposures, measurement error, missing data, and heterogeneity across study cohorts.