Kate is an Assistant Professor in the Department of Psychological and Brain Sciences at Boston University. She is interested in understanding how learning, memory, and decision-making systems change and shape adaptive behavior across development. Kate received an Sc.B. in Cognitive Neuroscience from Brown University, an MSc in Experimental Psychology from the University of Oxford, and a Ph.D. in Psychology from NYU. She completed postdoctoral training at the Princeton Neuroscience Institute before returning to her home state of MA to launch the lab in 2025. When not doing research, she enjoys traveling, trying new restaurants, and watching TV, though these days her hobbies have been supplanted by tending to a demanding new roommate.
Ipek recently graduated from the University of Pennsylvania, where she studied Cognitive Science with a concentration in computation and cognition, and minored in Data Science and Computational Neuroscience. She is broadly interested in how we learn from our experiences, make decisions, and form judgments, as well as how these processes can be formalized through computational models of the mind. She is also deeply interested in the intersection of psychology and computer science and is concurrently pursuing a Master’s in Computer Science. When not in lab, she likes to kickbox, watch (very old) movies, explore the city, and travel to new ones.

Karen is a Ph.D. student in the Brain, Behavior, and Cognition program. She is interested in understanding the computational mechanisms of mood dynamics, and how they can guide adaptive learning and decision-making across development. Karen received her BA in Psychological and Behavioral Sciences from University of Cambridge and an MRes from UCL, where she also completed a research placement at Yale University. Outside of research, she is usually trying to train her cat to do tricks, cooking, or climbing!
Luis is a Ph.D. student in the Brain, Behavior, and Cognition program. His research focuses on the strategies people use to make choices across different contexts, and on how learning shapes those strategies. In his current work, Luis combines computational modeling with behavioral experiments. Outside the lab, he enjoys trying out new recipes and exploring Boston.

Please see the join page to learn about opportunities in the lab.