Dr. Haziq Jamil Presents Advances in Bayesian Structural Equation Modeling at Psychoco 2026
Expanding KAUST’s footprint in computational psychometrics, Dr. Haziq Jamil recently shared his latest research on advanced statistical methodologies across two major European academic venues.
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Innovating Bayesian Inference in Padua
In early February, Dr. Haziq presented at the Psychoco 2026 workshop at the University of Padua, Italy. His talk, "Approximate Bayesian Inference for Structural Equation Models," highlighted cutting-edge approaches to overcoming the computational bottlenecks often associated with complex modeling.
Drawing on his ongoing development of specialized software tools like the INLAvaan R package, his presentation demonstrated how modern Bayesian techniques can yield faster, more robust inference for researchers analyzing intricate, multidimensional data structures.
Continuing the Conversation in London
Prior to the workshop, Dr. Haziq traveled to the UK for a short research visit at the London School of Economics and Political Science (LSE). In his capacity as a Visiting Research Fellow at LSE, he delivered an extended seminar on the same topic to colleagues and faculty. This visit served not only to share his recent findings but also to strengthen collaborative ties between KAUST and LSE's vibrant statistical modeling community.
