“Suboptimal behavioral reliability impedes reproducible human neuroscience”
Hosted by the WashU Neuroimaging Community (WUNIC)
Brief Bio: Aki Nikolaidis, PhD, is a tenure track research scientist in the Center for the Developing Brain at the Child Mind Institute. His research focuses on using advanced machine learning techniques to improve the reproducibility of clinical and cognitive neuroscience. He completed his undergraduate studies in psychology at Yale, and subsequently went abroad for research positions in Bern and Taipei. While completing his graduate studies at the University of Illinois, Aki investigated how brain networks, metabolism, and structure contribute to individual differences in executive function, intelligence, and learning. His work has also focused on understanding how interventions drive brain plasticity and improvements in cognition. He received a National Science Foundation Graduate Fellowship for this work. In addition, Dr. Nikolaidis has received grants, awards, and fellowships from Yale University, the University of Illinois, the National Institutes of Health, Google, Morgan Stanley, and the Brain and Behavior Research Foundation.
For inquiries contact Cathy Gezella.