Dr Nanda Aryal is an applied statistician with a background in Data Analysis, Biostatistics, and Approximate Bayesian Computation. He currently holds the position of Research Fellow at the Centre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University. Prior to this role, he worked for four years as a biostatistician at NHMRC Clinical Trial Centre, the University of Sydney. He has also had previous experience at the School of Mathematics and Statistics, The University of Melbourne, and the School of Economics, The University of Adelaide.

Nanda has experience in a variety of health research settings and a strong foundation in statistical theory and programming. He is proficient in design and statistical analysis for clinical trials. He has conducted research projects involving the use of Approximate Bayesian Computation methods to analyse spatial-temporal data.

Dr Aryal has utilised the linked data obtained from health information systems to identify patterns, trends and relationships in data that aid in developing effective plans and informed decisions related to health schemes. His research interests centre around developing and evaluating statistical methods for analysing complex health data, uncovering disease risk factors, and using statistical learning techniques to predict outcomes.

Biostatistics, Health Analytics, Clinical trials, Approximate Bayesian Computation, Statistical learnings, Health Economics.