KD Dang

KD Dang serves as a Senior Lecturer in the Department of Mathematics and Statistics within the School of Physics, Maths and Computing at The University of Western Australia in Perth, Australia. His institutional profile highlights active research at the intersection of advanced statistical methodology and public health applications, particularly in developmental epidemiology and cognitive outcomes assessment.

His core research expertise spans Bayesian statistics (including Bayesian inference and computational statistics), structural equation modeling, Hamiltonian Monte Carlo methods, generalized additive models, and Bayesian variable selection. These methodological strengths are systematically applied to analyze complex exposure-outcome relationships, with special emphasis on prenatal alcohol effects on child cognitive development across diverse population cohorts.

Analysis of his recent publications (2023-2025) reveals a cohesive trajectory in developing innovative statistical frameworks for multivariate exposure scenarios. Key contributions include simultaneous coefficient clustering techniques for mixed models, benchmark dose profiling for bivariate exposures, and generalized propensity score methodologies for multiple exposures—collectively advancing causal inference capabilities in observational studies of developmental neuroscience.

No scientific awards or major honors are documented in the available institutional profile information.

The provided materials contain no details regarding graduate student supervision, research grant funding, or externally sponsored projects under Dr. Dang's leadership.

While Dr. Dang participates in extensive multi-institutional collaborations (evident from international co-authorship networks), no dedicated laboratory facilities or formally named research teams are specified in his current academic profile.