William Hastings

The characteristics of the orbitofrontal cortex (OFC) and measures of emotionally-related impulsivity (ERI) offer strong diagnostic potential in the identification of internalized and externalized disorders (Nakamura et al., 2020; Johnson et al., 2013). Yet, nearly two dozen papers attempted to locate the neural correlates of ERI with no success (Johnson et al., 2020) until recently, with the discovery of a morphological link between the OFC and measures of ERI (Elliott et al., 2021). Of interest to the present project, separate and prior work identified that the patterning of indentions (sulci) […]

Zia Bajwa

The specific question that my research investigates is how might we better understand and optimize implementation outcomes for a novel transdiagnostic sleep intervention designed for psychiatric populations. More specifically, the goal of this project is to inductively code providers evaluations of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C), thus providing important insight into the efficacy of this sleep-focused program’s implementation. This project contributes new knowledge to the field of psychology by attempting to more deeply understand how to properly and effectively implement novel therapies, especially for those with […]

Soobin Hong

Studying learning is crucial to understanding the human mind. Currently, active research is being done on the relationship between cognitive processes and memory systems. While most studies focus on the systems individually, much recent research shows that human learning can be better explained by considering multiple systems simultaneously. We focus on the RLWM framework, which suggests that reinforcement learning (RL) and working memory (WM) both contribute significantly to trial-and-error learning. It takes into account the limited capacity of memory, more efficiently accounting for dependence of learning on the number of […]

Yuming Huang

  Geometric flows, such as the Ricci flow, Yang-Mills flow, and harmonic map flow, are natural ways to smooth out geometric objects (metric, connection, and maps, respectively). In this project, we will explore the idea of using geometric flows to develop new analytic tools for studying geometric objects. A possible goal of this project is to use geometric flows to solve problems in dispersive PDEs that involve geometric objects.