Ashok Chaurasia

Ashok Chaurasia is an Associate Professor at the University of Waterloo's School of Public Health Sciences. His expertise lies in applying statistical methods to address health research challenges, particularly in missing data analysis, longitudinal modeling, and computational statistics. He has mentored over 21 students in developing analytical tools for health-related disciplines like epidemiology, pediatrics, and aging studies.

• Education:
• BSc Statistics & Mathematics (Honours), University of Texas at San Antonio
• MSc Statistics, University of Texas at San Antonio
• PhD Statistics, University of Connecticut
• Postdoctoral Fellowship in Biostatistics at National Institute of Child Health and Human Development, NIH

His research focuses on innovative statistical solutions for real-world health problems, including signal saturation rates and model selection. Notable contributions include advancing methodologies for handling missing data in youth obesity studies and exploring religious participation's impact on cognitive function in aging populations.

Recent work highlights include analyzing vaccination hesitancy among Indigenous communities and developing model-modified BIC criteria for regression analysis. His publications span epidemiology, biostatistics, and health policy, with a strong emphasis on translating statistical rigor into actionable public health strategies.