Past Members

Funded by an NIA Training Grant, Hunter was a post-doc in the Cognitive Control and Aging Lab from 2015 to 2018.

Jackson joined the lab in the Fall of 2017 after finishing a bachelor's degree at Wake Forest University. Jackson's research interests currently include understanding the reactive control processes that underlie recruitment of control based on previous experiences with items and contexts, what design factors encourage or discourage the learning and transfer of reactive control, and how much of one's previous experience continues to inform proactive predictions of the likelihood of conflict or a task switch.

In his free time, Jackson enjoys running, indie-rock music, soccer, basketball, coffee, and hiking.

Jackson's CV

Abhishek is interested in the intersectionality of implicit mechanisms of control and explicit judgements and performance.  Abhishek’s previous research was involved with action control.  His master’s thesis examined the effect of instructions on implicit knowledge of the uncertainty of motor actions.  Currently, he is investigating the boundary conditions of when cognitive control mechanisms are applied to representations of categories, as opposed to representations of exemplars.  Understanding these boundary conditions would inform future research regarding stereotyping and policy-making for diversity training.  Abhishek is also looking to investigate whether (a) minute environmental shifts can be detectable, and (b) if awareness of those shifts leads to performance changes in either proactive or reactive control.

Nate earned his PhD in 2018. His dissertation was entitled: Mind Wandering in Old Age: Lack of Thoughts or Lack of Resources.

My research interests include task switching, cognitive control, and response inhibition in the context of aging. Currently, I'm looking at how our ability to use cognitive control (e.g., minimizing distraction) differs between younger and older adults. On the statistical side of things, I’m also exploring the conditions under which Bayesian analyses provide a definitive advantage over frequentist methods (e.g., ANOVA) in the context of hypothesis testing and statistical power.

My CV/resume is always being updated. For the most current version, including links to all publications, please visit my LinkedIn page at www.linkedin.com/in/laurengrant-phd

Lauren's CV

• Lia Abrams
• Isaac Bindert
• Rachel Brough
• Alex Cestari
• Mackenzie Glassner
• Megan Maxwell
• Lindsay Nobles
• Janelli Rodriguez
• Hannah Yoken
• Derek Zhou
• Caroline Moss
• Ceresa Munjak-Khoury
• Padma Doobay
• Airest Wilson
• Erin Wang
• Natasha Frontera
• Eva Jeliazkova
• Rebecca Lowen
• Logan Wetz
• Abdullah Youssouf
• Ally Ratner
• Aditya Sehgal
• Athena Nguyen
• Ishaan Alva
• Dina Abdalla
• Hannah Chen
• Aliza Lubitz

Emily joined the lab in the Fall of 2016 after earning a bachelor’s degree in psychology at Washington and Lee University in May 2016. Her bachelor’s thesis examined the impact of multitasking and divided attention on information processing and learning in an academic context. She is currently investigating how divided attention impacts prospective memory. Her research interests include aging, prospective memory, cognitive control, and attention.

Jihyun joined the lab in Summer of 2018 after finishing her Ph.D at Washington University in St. Louis with her studies on visual attention. She is interested in examining manifestations of cognitive control followed by dynamic conflict cues. In line with this idea, her research focuses on how implicit learning of conflicts modulate cognitive control and how it is affected by Alzheimer’s disease as well as normal aging. She is also investigating whether conflict monitoring mechanisms operate in an automatic or a resource-demanding manner. She uses behavioral measures, eye-tracking, and computational modeling to examine her research questions.

Personal Website

My research focuses on the ability to maintain consistent focus on a moment-to-moment basis and how we can improve our measurement of this ability using combinations of behavioral and self-report data. Through the T32 training grant, I am expanded this work into the context of healthy aging and older adults who are at risk for developing Alzheimer’s disease.