"My research focuses on understanding how the healthy brain maintains precise visual working memory representations, particularly through subsequent interference. In addition, I hope to understand what neural factors may underlie memory failures, and my current postdoctoral work seeks to establish whether interventions like real-time neurofeedback can be used to manipulate working memory and long-term memory outcomes."

"My goal is to leverage insights from episodic memory research to better understand emotional associative learning. My research applies modern cognitive neuroscience techniques such as MVPA and machine learning to study fear extinction in both healthy and clinical populations. My work focuses on fear extinction as an experimental model of exposure therapy."

"Motor deficits, such as the ability to individuate finger movements, is a common impairment associated with stroke that often never reaches full recovery. Here, we use hyperalignment to create a neural template of ideal brain activity from healthy participants. Our goal is to use this template to guide recovery in a real-time fMRI neurofeedback experiment post-stroke."

"My interest is in exploring the role of our emotional state on our memory systems. Specifically, I am interested in the ways in which persistent mental illness can greatly affect our working memory capabilities and our ability to deal with the daily challenges of an information rich life."

"My main interest lies in the interaction between memory and attention. Specifically, I am interested in how attentional control shapes memory representations and how internal representations influence ongoing processes. My research combines cognitive neuroscience and computational techniques to explore these questions."

"My interest is in the role of attention on the integration of sensory inputs, and how this modulation affects downstream executive functions such as decision making. By comparing and contrasting computational models of such tasks and the human brain, I hope to gain insights both in brain functions and in machine learning techniques"

“My main interest is in exploring how our social environment can shape our behavior and attention. Specifically, I am interested in how learning from our peers can influence our information seeking and whether individual differences play a role in the selection of information. I hope to get a better understating of these processes by investigating both human and animal models”

"I’m fascinated by the adaptive nature of human memory. In particular, I’m curious about how the brain can maintain stable yet flexible representations in working memory. I investigate how neural dynamics in working memory contribute to the formation and organization of long-term memories, and how the brain uses prior knowledge to guide our behaviors. My research combines psychophysics, cognitive neuroscience, and machine learning techniques to explore these topics."