Aishwarya Bhaskaran

Aishwarya Bhaskaran is a Lecturer in Theoretical Statistics at the School of Mathematical and Physical Sciences, Macquarie University. She holds a PhD in Statistics from the University of Technology Sydney (2023), followed by a postdoctoral position at Macquarie University. Her research focuses on theoretical and methodological advancements in survival analysis, generalized linear mixed models (GLMMs), asymptotic theory, and variational approximation methods. She is particularly interested in Bayesian inference and enhancing scalability for large datasets. Her teaching includes courses on Generalized Linear Models (STAT7111/8111) and Statistical Inference for Data Science (STAT3191/6191).

Research interests include bridging statistical theory with real-world applications. Notable contributions span asymptotic improvements for GLMMs, dispersion parameter extensions, and variational methods for complex models. Her work emphasizes computational efficiency and practical applicability.

Recent collaborations highlight international networks in statistical methodology and applications. While no specific awards are named, her research has garnered citations across peer-reviewed journals. She actively participates in academic networks and contributes to advancing statistical theory and its computational implementation.