Biostatistics and epidemiology research focuses on applying statistical methods to understand the distribution, determinants, and control of diseases within populations. This field is crucial for identifying risk factors, evaluating public health interventions, and designing strategies to improve health outcomes. It plays an essential role in designing and implementing evidence-based policies and programs aimed at preventing disease outbreaks and enhancing overall public health. 

Statistical computing research focuses on the development and application of computational techniques to perform statistical analysis on large and complex data sets. This field is vital for processing and analyzing data efficiently, enabling researchers to draw meaningful insights and make data-driven decisions. Key areas include algorithm development, machine learning, data visualization, and the implementation of software tools for statistical analysis. These methods enhance the accuracy and scalability of data analysis, making it possible to tackle problems in various domains, such as health, finance, and environmental science. 

Environmental statistics research focuses on the development and application of statistical methods to study environmental issues and their impact on human health and ecosystems. This field involves analyzing data related to air and water quality, pollution levels, climate change, and natural resource management to identify patterns, trends, and potential risks. The insights gained from environmental statistics are crucial for formulating policies, regulations, and interventions aimed at mitigating environmental hazards, promoting sustainability, and protecting public health.