We are a cognitive neuroscience lab that uses behavioral and neuroscience methods as well as computational modeling to study learning and decision making.
One focus we have is on answering basic cognitive neuroscience questions about things related to reinforcement learning, categorization, and decision-making. We like to use mathematical models in this endeavor.
A second focus is to take the experimental paradigms, mathematical models, and analysis approaches we have developed through basic cognitive neuroscience research and use the to ask applied questions.
We are funded by the National Institute on Aging to examine how aging influences decision-making. We are also examining how things like impulsivity, substance use, dopaminergic affinity, personality, and other individual differences affect things like reward processing and decision-making.
Dr. Darrell Worthy – Principal Investigator
Dr. Worthy is the director of the Worthy Motivation and Cognition Interface Lab and an associate professor at Texas A&M University. He received his Ph.D. in Cognitive Psychology & Neuroscience from the University of Texas at Austin. He joined the department of Psychological & Brain Sciences at Texas A&M University in 2010, and was promoted to the rank of Associate Professor in 2015.
Hilary Don, Ph.D. – Postdoctoral Researcher
Hilary completed her PhD in Psychology at the University of Sydney in 2018. Her research uses experimental and computational modeling methods to investigate the mechanisms responsible for learning and decision-making, particularly the processes that result in irrational or counterintuitive decisions. She has worked on a range of behavioral phenomena, including the inverse base-rate effect, learned predictiveness effects, reinforcement learning, and relational learning and transfer.
Astin Cornwall – 4th year graduate student
Astin completed his Associate of Arts at Tarrant County College, and his Bachelor of Science in Psychology at Texas Wesleyan University in 2016. His research mainly focuses on how people make decisions under conditions of uncertainty and learn from the experience. More recently, his focus has been on using mathematical models to explain uncertain choice behavior in human participants. Other topics of interest which relate to his work include: neuroscience, neuroeconomics, and machine learning.
David Yang – 3rd year graduate student
Dong Yu (David) Yang completed his M.S. in Psychology at National Chung Cheng University, Taiwan. In his thesis, he investigated what affects working memory capacity. Working as a research assistant, he began an early cognitive neuroscience career at different institutes. Now he is pursuing a Ph.D. in the WorthyLab. David’s research interests are human decision-making modeling and simulation. He is also interested in cognitive models and functional imaging studies.
Kaiti McOwen – Lab Manager
Kaiti completed her degree at Indiana Wesleyan University in 2019, obtaining a B.S. in Psychology with a minor in Statistics. She plans to pursue a PhD in Cognitive Neuroscience, with broad research interests in memory and stress. Her past research experience includes studies of PTSD, counterfactual thinking, and other-oriented perspective taking.
Kaileigh Byrne, Ph.D. – Assistant Professor at Clemson University
Bo Pang, Ph.D. – Graduate Student in Statistics, UCLA
Crina Silasi-Mansat, Ph.D. – Assistant Professor at Stephens College