Dr. John Felt received his Ph.D. in Psychological Sciences, with emphases in Health Psychology and Quantitative Methods, from the University of California, Merced. He is currently a post-doctoral fellow in the Prevention and Methodology Training (PAMT) program working under Dr. Joshua Smyth and Dr. Michael Russell. John has dual research interest in distinct but related areas. First, he is interested in the biopsychosocial underpinnings of the relationships between stress and health and well-being. Within this area, John has investigated quality of life issues in patients treated for rare hormonal diseases (e.g., Cushing’s syndrome) and how the stress response alters information processing. Second, John is interested in statistical methods to evaluate change over time, specifically with models relevant to research in stress, health, and well-being. Within this area, John has worked with latent variable and multilevel models, in both the frequentist and Bayesian frameworks. His postdoctoral training will expand upon these areas of interest by incorporating methods to study psychological processes in the moment (i.e., through EMA methods) and by studying the statistical methods relevant for the intensive longitudinal data that these methods yield (e.g., multilevel modeling, generalized additive models, etc.).