Congratulations to James Pooley, 3rd year graduate student of Madlab, who successfully advanced on March 7, 2011. James’ research involves using Bayesian analysis to assess the stages of Alzheimer’s disease and related disorders (ADRD). One of his recent papers (published in the Journal of Mathematical Psychology) proposes that hierarchical Bayesian models can not only account for individual differences among ADRD patients, but can also efficiently explain the patients’ performances on memory recall tasks. Figure 1 shows that the observed serial position curves (indicated by black lines) are proportional to the model’s posterior predictions (indicated by areas of squares). Next, James is working on a model with more detailed processing assumptions to gain a better insight into human memory. So stay tuned.